MarkLogic vs OpenText Analytics Database (Vertica) comparison

MarkLogic vs. OpenText Analytics Database (Vertica)

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

5.8

MarkLogic boosts ROI by enhancing efficiency, reducing complexity, and accelerating processes, saving costs and improving team focus.

Sentiment score

6.2

Organizations achieved financial and operational gains with Vertica, reducing costs and processing time while enhancing analytics and performance.

For example, by using MarkLogic to handle semi-structured data directly, I have reduced ETL prep and transformation time by roughly 30 to 40 percent, freeing up engineers to focus on more value-added tasks instead of manual data cleaning.

reviewer2812596

Senior Data Engineer at a insurance company with 10,001+ employees

This led to roughly a thirty to forty percent reduction in backend development effort.

Rituraj NSIT

SDE 2 at Virtusa

Ultimately, it reduced development complexity and effort noticeably, especially by eliminating the need to manage multiple systems.

For more quotes and insights, download the MarkLogic report

Senior software developer at Makemytrip

I saved a lot of money because the storage was on a cheaper alternative and was not directly on OpenText Analytics Database (Vertica), but on S3.

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

The time we used to take with our earlier databases has reduced to one-tenth of what was there earlier, which is a positive outcome that can be converted to financial metrics in terms of return on investment.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

Customer Service

Sentiment score

6.2

MarkLogic's responsive support and expert engineers effectively handle complex issues, receiving positive feedback for enterprise-grade assistance.

Sentiment score

7.1

OpenText Analytics Database's customer service is generally valued for expertise but has occasional response time and escalation issues.

Customer support for MarkLogic provides strong enterprise-level assistance through direct interactions.

Software Engineer at ValueMomentum

MarkLogic support has enterprise-grade support, including ticketing systems and dedicated support channels for customers.

For more quotes and insights, download the MarkLogic report

Senior software developer at Makemytrip

I would rate MarkLogic's customer support an eight due to its responsiveness, especially for higher priority issues.

Rituraj NSIT

SDE 2 at Virtusa

Throughout this process, customer support was outstanding, and we had a person actively supporting us from the OpenText Analytics Database (Vertica) team for our use case.

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

Overall, our experience with OpenText Analytics Database (Vertica) customer support has been good and reliable.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

consultant at tcs

Scalability Issues

Sentiment score

6.9

MarkLogic efficiently scales horizontally, handling increased data volumes and workloads with effective server design and cloud solutions.

Sentiment score

7.2

OpenText Vertica offers scalable, efficient data handling with robust performance, though pricing and node addition may challenge some users.

Overall, it scales well, but getting the best performance depends on how well you design and configure it.

Mampi Bhattacharya

Developer at a tech vendor with 10,001+ employees

In production, when you get to know that your data is increasing and you need to add one more node, that is not easy and not straightforward.

Staff Engineer at a tech vendor with 10,001+ employees

MarkLogic is highly scalable and supports horizontal scaling through its clustered architecture.

For more quotes and insights, download the MarkLogic report

Software Engineer at ValueMomentum

We have experienced easy horizontal scaling, consistent query performance as data grew, and the ability to handle large analytic workloads.

consultant at tcs

OpenText Analytics Database (Vertica) has very good scalability.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

OpenText Analytics Database (Vertica) can scale to a great extent.

Anuj Chourasia

Analytics Manager at a wholesaler/distributor with 10,001+ employees

Stability Issues

Sentiment score

7.8

MarkLogic is reliable and stable for enterprises, supporting high availability, handling large data volumes, with minimal downtime issues.

Sentiment score

7.2

OpenText Analytics Database offers high stability and performance, with successful migrations and minimal clustering issues ensuring user satisfaction.

It supports ACID transactions, which ensure data consistency and reliability.

Software Engineer at ValueMomentum

The built-in replication and failover features also help maintain uptime, ensuring the system stays operational even during maintenance or updates.

reviewer2812596

Senior Data Engineer at a insurance company with 10,001+ employees

It can be used in different environments and is designed for enterprise use cases involving large volumes of data and complex queries.

For more quotes and insights, download the MarkLogic report

Senior software developer at Makemytrip

OpenText Analytics Database (Vertica) is very stable.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

Room For Improvement

MarkLogic presents a steep learning curve, outdated UI, costly infrastructure, and requires better documentation, tooling, and ecosystem support.

OpenText Analytics Database needs improvements in community, cloud features, SQL, integration, cost efficiency, machine learning, and developer tools.

You do not need to worry about maintaining your own servers or provisioning your own servers. You simply log in and tell MarkLogic you want a certain number of clusters or nodes in a cluster and what cloud provider you want to use, then click okay, and they will build it for you.

Staff Engineer at a tech vendor with 10,001+ employees

There is a steep learning curve for this technology; XQuery and internal concepts such as indexing and CTS queries take time to learn compared to more common databases such as MongoDB.

Software Engineer at ValueMomentum

Cost and licensing can be a consideration, especially for smaller teams or startups compared to open-source alternatives.

For more quotes and insights, download the MarkLogic report

Senior software developer at Makemytrip

Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management.

consultant at tcs

Projections could be made more dynamic, and if they could find a faster way to update, insert, and delete data, that would also be helpful.

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

OpenText Analytics Database (Vertica) does not have a cloud-based UI that Snowflake has, which features a very good comprehensive GUI for querying and analyzing data.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

Setup Cost

MarkLogic's high pricing offers enterprise features and support, making it viable despite higher costs compared to open-source options.

OpenText Analytics Database offers flexible pricing, often cost-effective for its advanced features, despite being pricey vs. open-source solutions.

The initial setup cost is moderate to high, mainly due to infrastructure provisioning, licensing costs, and initial configuration and onboarding efforts.

Rituraj NSIT

SDE 2 at Virtusa

MarkLogic is quite costly, and they are looking to move away in the longer run for that reason.

Staff Engineer at a tech vendor with 10,001+ employees

MarkLogic follows a licensing model that can be relatively higher compared to open-source databases, making cost an important factor for smaller teams.

For more quotes and insights, download the MarkLogic report

Senior software developer at Makemytrip

The pricing for OpenText Analytics Database (Vertica) is somewhat on the higher side for the license.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

Valuable Features

MarkLogic offers advanced search, flexible data models, and high performance, enabling efficient data integration and consolidation in organizations.

OpenText Analytics Database excels in fast query responses, scalability, and real-time insights, enhancing decision-making and operational efficiency.

It has a very rich search and cts APIs to build search engines on large datasets.

Staff Engineer at a tech vendor with 10,001+ employees

I personally appreciate the built-in search feature because it indexes all data immediately upon ingestion for rapid searching, so we can perform full-text, phrase, or geospatial searches.

reviewer2811294

Non IT Recruiter at a computer software company with 11-50 employees

MarkLogic provides a Google search-like capability, including full-text search, partial matching, and relevance scoring.

For more quotes and insights, download the MarkLogic report

Software Engineer at ValueMomentum

I can use it in Eon Mode in which I can store the data in cheaper storage such as Amazon S3 and have different compute nodes.

Senior Software Engineer at a tech vendor with 5,001-10,000 employees

Projection and columnar storage are the most valuable features because they dramatically improve query performance and reduce the need for index management.

consultant at tcs

The best features that OpenText Analytics Database (Vertica) offers are mainly the parallel processing, ETL capabilities, and the multi-cloud features which are very handy to use.

For more quotes and insights, download the OpenText Analytics Database (Vertica) report

Data Engineering Associate Manager at a tech vendor with 10,001+ employees

Categories and Ranking

MarkLogic

Average Rating

8.2

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

NoSQL Databases (9th)

OpenText Analytics Database...

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Warehouse (5th), Cloud Data Warehouse (11th)

Featured Reviews

reviewer2812596

Senior Data Engineer at a insurance company with 10,001+ employees

Handling hierarchical insurance data has improved ETL workflows and still needs better integration

There are several things I have observed regarding MarkLogic's improvement areas. One challenge I notice is the learning curve and setup; it can be complex for someone new, especially when integrating with other systems or setting up indexing strategies for large datasets. I occasionally spend extra time fine-tuning indexes or query performance for really large documents. Another observation concerns tooling and ecosystem support, as it does not feel as rich as mainstream databases such as Hive or SQL servers in terms of connectors and integration or community resources. Sometimes I need to build custom scripts to bridge these gaps. Finally, monitoring and debugging distributed queries can be tricky; while it has built-in tools, deeper performance profiling or tracing is not always intuitive. Overall, these are not deal-breakers, but improvements in onboarding, ecosystem connectors, and monitoring would enhance the experience.

Read full review

Data warehousing has transformed reporting performance and now delivers near real-time insights

consultant at tcs

OpenText Analytics Database (Vertica) is a very powerful analytic database, but like any platform, there are areas where it can improve to make daily work even smoother. Better cloud-native experience is one area for improvement. OpenText Analytics Database (Vertica) was originally designed as an on-premises analytic database and later moved to cloud. Improvement opportunities include more seamless cloud-native features such as auto-scaling, serverless options, and easier cluster management. Competitors such as Snowflake and BigQuery provide more fully managed experiences. Easier UI is another area for improvement. Most administration is currently done by SQL and command line tools. An improvement opportunity would be a more modern web UI for monitoring, workload management, and troubleshooting. Faster ecosystem and community growth is needed. In short, OpenText Analytics Database (Vertica) could improve in areas such as cloud-native capability, modern UI for administration, stronger real-time streaming integration, and growing its ecosystem and community. These enhancements would make it easier to manage and adopt compared to newer cloud-first analytic platforms. From a day-to-day operational perspective, there are a few areas where OpenText Analytics Database (Vertica) could improve to make our work smoother. Smarter automatic projection management is needed with more intelligence, auto projection creation, automatic optimization, and reduced manual testing with better workload management. Right now, monitoring queries often requires system tables and manual analysis. Troubleshooting slow queries takes time. A modern real-time dashboard showing query bottlenecks and resource users would enable quick detection. The impact could be faster issue resolution and less time spent debugging performance. Storage native interaction with modern data tools is also important. In short, from a day-to-day perspective, improvements in automatic projection optimization, better workload monitoring dashboard, easier schema evolution, and stronger modern tool integration would significantly reduce manual tuning effort and improve developer productivity. While OpenText Analytics Database (Vertica) is very powerful, these enhancements would make it more efficient for the analytics team.

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Top Industries

By visitors reading reviews

Educational Organization

29%

Financial Services Firm

13%

Transportation Company

Recreational Facilities/Services Company

Financial Services Firm

18%

Computer Software Company

12%

Manufacturing Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	2
Midsize Enterprise	4
Large Enterprise	10

By reviewers
Company Size	Count
Small Business	29
Midsize Enterprise	23
Large Enterprise	43

Questions from the Community

What is your experience regarding pricing and costs for MarkLogic?

I do not actually deal with pricing, setup costs, or licensing because I work for an organization, but I believe the pricing and licensing are definitely on the higher side compared to open-source ...

What needs improvement with MarkLogic?

I would say the features can be improved, as maybe the UI could be a little better. I am not sure if there are other options, but the one I am using is from the query console, so maybe I am not awa...

What is your primary use case for MarkLogic?

My main use case for MarkLogic involves running queries to check some of the jobs. I run batch jobs and then I want to check whether the batch jobs are running fine. I check the data on MarkLogic b...

What do you like most about Vertica?

Vertica is easy to use and provides really high performance, stability, and scalability.

What is your experience regarding pricing and costs for Vertica?

My experience with pricing, setup cost, and licensing is limited because the organization handled the licensing and pricing as well as the cost setup.

What needs improvement with Vertica?

OpenText Analytics Database (Vertica) is already doing great. There could be a community which could have been much more advanced and more people can be engaged so that any kind of questions, queri...

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Product Reports

MarkLogic

Download MarkLogic product report

OpenText Analytics Database (Vertica)

Download OpenText Analytics Database (Vertica) product report

OpenText Analytics Database (Vertica) report

Also Known As

No data available

Micro Focus Vertica, HPE Vertica, HPE Vertica on Demand

Overview

MarkLogic offers robust capabilities for data storage and retrieval, supporting multiple formats like XML and JSON. Its built-in search and indexing facilitate rapid data querying, making it efficient for industries demanding quick data management solutions.

Boasting flexibility in data management, MarkLogic supports XML and JSON formats without strict schemas, integrating storage and search within a single platform to reduce complexity. This configuration enhances data handling, performance, and development speed. Industries like publishing, insurance, and healthcare benefit from its real-time processing, enabling tasks that range from creating PDFs to complex backend services. While users appreciate these capabilities, suggestions include interface modernization and better integration with tools like VS Code and IntelliJ.

What are MarkLogic's standout features?

Built-in Search and Indexing: Facilitates rapid data querying and retrieval.
Multiple Data Format Support: Offers flexibility with XML and JSON without strict schemas.
Integrated Storage and Search: Combines functionalities to minimize system complexity.
ACID Transactions: Enhances reliability and data integrity.

What benefits can be expected from MarkLogic?

Improved Efficiency: Streamlines data handling with reduced complexity.
Enhanced Performance: Supports faster development and system responsiveness.
Flexibility in Data Management: Handles multiple formats effortlessly.
Scalable Solution: Ensures performance across multiple nodes.

MarkLogic sees extensive use in publishing, insurance, and healthcare, where it aids in real-time processing, querying, and transformation of data. Its indexing and search capabilities allow efficient management of semi-structured data, smoothing tasks from document creation to backend solutions, without necessitating extensive migrations.

Progress Software

OpenText Analytics Database Vertica is known for its fast data loading and efficient query processing, providing scalability and user-friendliness with a low cost per TB. It supports large data volumes with OLAP, clustering, and parallel ingestion capabilities.

OpenText Analytics Database Vertica is designed to handle substantial data volumes with a focus on speed and efficient storage through its columnar architecture. It offers advanced performance features like workload isolation and compression, ensuring flexibility and high availability. The database is optimized for scalable data management, supporting data scientists and analysts with real-time reporting and analytics. Its architecture is built to facilitate hybrid deployments on-premises or within cloud environments, integrating seamlessly with business intelligence tools like Tableau. However, challenges such as improved transactional capabilities, optimized delete processes, and better real-time loading need addressing.

What features define OpenText Analytics Database Vertica?

Fast Data Loading: Quickly ingests large data volumes.
Columnar Storage: Optimizes storage efficiency and speed.
OLAP Support: Provides robust analytics capabilities.
Advanced Compression: Enhances storage efficiency and performance.
Parallel Data Ingestion: Enables faster data processing.
Fault Tolerance: Ensures high availability and reliability.

What benefits should users expect?

Cost Efficiency: Low cost per TB is advantageous.
Scalability: Accommodates growing data needs seamlessly.
Integration Flexibility: Works well with BI tools like Tableau.
Real-Time Reporting: Delivers immediate insights for decision-making.

OpenText Analytics Database Vertica's implementation spans industries such as finance, healthcare, and telecommunications. It serves as a central data warehouse offering scalable management, high-speed processing, and geospatial functions. Companies benefit from its capacity to integrate machine learning and operational reporting, enhancing analytical capabilities.

OpenText

Sample Customers

ALM, American Psychological Association, American Society of Agronomy, Cond_ Nast, Centers for Medicare and Medicaid Services, Institute of Engineering and Technology, JWG Group, Lagardre Active, RSuite CMS, Wiley

Cerner, Game Show Network Game, Guess by Marciano, Supercell, Etsy, Nascar, Empirix, adMarketplace, and Cardlytics.

MarkLogic vs. OpenText Analytics Database (Vertica)