OpenSearch is a powerful search and data analysis tool that enhances search capabilities and improves data analysis.
It is commonly used for indexing and searching large volumes of data, enabling real-time monitoring and analysis, and integrating with various applications and systems.
OpenSearch is suitable for both small-scale and enterprise-level deployments, offering flexibility and scalability.
Users appreciate the flexibility and scalability of OpenSearch, allowing them to easily adapt it to their specific needs. The platform's open-source nature also fosters a vibrant community and frequent updates, ensuring continuous improvement and innovation.
Azure Database for PostgreSQL excels in data storage, management, and processing for enterprise-grade applications. Known for scalability, reliability, and integration with Azure services, it's used for handling large transactions and analytical workloads. Offering robust security, automated backups, and high availability, it aids in reducing administrative overhead with built-in monitoring tools.
We do not pay for a full-year subscription because our usage is still at the beginning phase and not much. The pay-as-you-go model works well for us.
We do not pay for a full-year subscription because our usage is still at the beginning phase and not much. The pay-as-you-go model works well for us.
Oracle Berkeley DB provides the best open source embeddable databases allowing developers the choice of SQL, Key/Value, XML/XQuery or Java Object storage for their data model. At its core is a fast, scalable, transactional database engine with proven reliability and availability. Berkeley DB comes three versions: Berkeley DB, Berkeley DB Java Edition, and Berkeley DB XML.
I rate the product's pricing a five out of ten.
There is a need to pay for the licenses and features of the tool.
I rate the product's pricing a five out of ten.
There is a need to pay for the licenses and features of the tool.
3.2M+ Timescale databases power apps across IoT, sensors, AI, dev tools, crypto, and finance—all built on PostgreSQL. We use PostgreSQL for everything; we built our cloud so you can too. For workloads that ingest and query high volumes of data, Timescale queries up to 350x faster, ingests 44% faster, and saves 95% storage over RDS. We just made PostgreSQL a better database for AI—as fast as Pinecone, easier to use, up to 75% cheaper, and 100% open source.
High performance time series database. Superior developer experience with SQL and time series extensions. Speed and reliability to solve ingestion speed bottlenecks.
For massive volumes of time-series data, trust a specialized time-series database. Timestamps are first-class, and blistering throughput is sustained even through the highest data cardinality. Deduplication and out-of-order ingestion also work right out-of-the-box.
Deploy QuestDB anywhere around the world.
TileDB, Inc. is a data management company founded to help Data Science teams make faster discoveries, by giving them a more natural way to store, analyze and share large sets of diverse data, so that they can stop wasting time working around performance limitations, inadequate data storage formats, and unfamiliar tooling.
GridDB is a strategically designed database system tailored for IoT and Big Data analytics. Its unique technology offers scalable, high-performance storage and retrieval capabilities, making it ideal for data-intensive environments.
