DBMS > Datastax Enterprise vs. eXtremeDB vs. FatDB vs. PostgreSQL vs. Weaviate
System Properties Comparison Datastax Enterprise vs. eXtremeDB vs. FatDB vs. PostgreSQL vs. Weaviate
| Editorial information provided by DB-Engines | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Name | Datastax Enterprise Xexclude from comparison | eXtremeDB Xexclude from comparison | FatDB Xexclude from comparison | PostgreSQL Xexclude from comparison | Weaviate Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Description | DataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform. | Natively in-memory DBMS with options for persistency, high-availability and clustering | A .NET NoSQL DBMS that can integrate with and extend SQL Server. | Widely used open source RDBMS  Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | An AI-native realtime vector database engine that integrates scalable machine learning models. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Primary database model | Wide column store | Relational DBMS Time Series DBMS | Document store Key-value store | Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module. | Vector DBMS | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary database models | Document store Graph DBMS Spatial DBMS Search engine Vector DBMS | Document store Graph DBMS with Apache AgeSpatial DBMS Vector DBMS with pgvector extension | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Website | www.datastax.com/products/datastax-enterprise | www.mcobject.com | www.postgresql.org | github.com/weaviate/weaviate weaviate.io | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Technical documentation | docs.datastax.com | www.mcobject.com/docs/extremedb.htm | www.postgresql.org/docs | weaviate.io/developers/weaviate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Developer | DataStax | McObject | FatCloud | PostgreSQL Global Development Group www.postgresql.org/developer | Weaviate B.V. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Initial release | 2011 | 2001 | 2012 | 1989 1989: Postgres, 1996: PostgreSQL | 2019 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Current release | 6.8, April 2020 | 8.2, 2021 | 16.3, May 2024 | 1.19, May 2023 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| License Commercial or Open Source | commercial | commercial | commercial | Open Source BSD | Open Source commercial license available with Weaviate Enterprise | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DBaaS offerings (sponsored links) Database as a Service Providers of DBaaS offerings, please contact us to be listed. | Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing. |
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| Implementation language | Java | C and C++ | C# | C | Go | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server operating systems | Linux OS X | AIX HP-UX Linux macOS Solaris Windows | Windows | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Data scheme | schema-free | yes | schema-free | yes | yes, maps to GraphQL interface | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typing predefined data types such as float or date | yes | yes | yes | yes | yes string, int, float, geo point, date, cross reference, fuzzy references | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | no support of XML interfaces available | yes specific XML-type available, but no XML query functionality. | no | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Secondary indexes | yes | yes | yes | yes | yes all data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| SQL Support of SQL | SQL-like DML and DDL statements (CQL); Spark SQL | yes with the option: eXtremeSQL | no Via inetgration in SQL Server | yes standard with numerous extensions | GraphQL is used as query language | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| APIs and other access methods | Proprietary protocol CQL (Cassandra Query Language) TinkerPop Gremlin with DSE Graph | .NET Client API JDBC JNI ODBC Proprietary protocol RESTful HTTP API | .NET Client API LINQ RESTful HTTP API RPC Windows WCF Bindings | ADO.NET JDBC native C library ODBC streaming API for large objects | GraphQL query language RESTful HTTP/JSON API | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Supported programming languages | C C# C++ Java JavaScript (Node.js) PHP Python Ruby | .Net C C# C++ Java Lua Python Scala | C# | .Net C C++ Delphi Java JDBCJavaScript (Node.js) Perl PHP Python Tcl | JavaScript / TypeScript Python | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Server-side scripts Stored procedures | no | yes | yes via applications | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Triggers | yes | yes by defining events | yes via applications | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Partitioning methods Methods for storing different data on different nodes | Sharding no "single point of failure" | horizontal partitioning / sharding | Sharding | partitioning by range, list and (since PostgreSQL 11) by hash | Sharding | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Replication methods Methods for redundantly storing data on multiple nodes | configurable replication factor, datacenter aware, advanced replication for edge computing | Active Replication Fabric™ for IoT Multi-source replication by means of eXtremeDB Cluster optionSource-replica replication by means of eXtremeDB High Availability option | selectable replication factor | Source-replica replication other methods possible by using 3rd party extensions | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| MapReduce Offers an API for user-defined Map/Reduce methods | yes | no | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Consistency concepts Methods to ensure consistency in a distributed system | Immediate Consistency Tunable Consistency consistency level can be individually decided with each write operation | Immediate Consistency | Eventual Consistency Immediate Consistency | Immediate Consistency | Eventual Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Foreign keys Referential integrity | no | yes | no | yes | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | no Atomicity and isolation are supported for single operations | ACID | no | ACID | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Concurrency Support for concurrent manipulation of data | yes | yes Optimistic (MVCC) and pessimistic (locking) strategies available | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Durability Support for making data persistent | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | yes | yes | no | yes | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| User concepts Access control | Access rights for users can be defined per object | no Can implement custom security layer via applications | fine grained access rights according to SQL-standard | API Keys OpenID Connect Discovery | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| More information provided by the system vendor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Datastax Enterprise | eXtremeDB | FatDB | PostgreSQL | Weaviate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Specific characteristics | DataStax Enterprise is scale-out data infrastructure for enterprises that need to... » more | eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small... » more | Weaviate is an open source vector database that is robust, scalable, cloud-native,... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Competitive advantages | Supporting the following application requirements: Zero downtime - Built on Apache... » more | eXtremeDB databases can be modeled relationally or as objects and can utilize SQL... » more | Flexible deployment - Free, open source or fully-managed cloud vector database service... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Typical application scenarios | Applications that must be massively and linearly scalable with 100% uptime and able... » more | IoT application across all markets: Industrial Control, Netcom, Telecom, Defense,... » more | As a database supporting the development of generative AI and semantic search applications... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Key customers | Capital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and... » more | Schneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,... » more | All companies that have data. » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Market metrics | Among the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top... » more | With hundreds of customers and over 30 million devices/applications using the product... » more | As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Licensing and pricing models | Annual subscription » more | For server use cases, there is a simple per-server license irrespective of the number... » more | Weaviate is open-source, and free to use. Weaviate is also available as a fully managed... » more | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| More resources | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Datastax Enterprise | eXtremeDB | FatDB | PostgreSQL | Weaviate | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| DB-Engines blog posts | PostgreSQL is the DBMS of the Year 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 | Weaviate, an ANN Database with CRUD support Monitoring PostgreSQL with Redgate Monitor DataStax previews new Hyper Converged Data Platform for enterprise AI DataStax Launches New Hyper-Converged Data Platform Giving Enterprises the Complete Modern Data Center Suite ... DataStax Rolls Out Vector Search for Astra DB to Support Gen AI DataStax announces vector search capabilities in its on-prem Apache Cassandra database DataStax and LlamaIndex Partner to Make Building RAG Applications Easier than Ever for GenAI Developers provided by Google News eXtremeDB 8.4 Unveils Exciting New Features and Enhancements Latest embedded DBMS supports asymmetric multiprocessing systems McObject Announces the Release of eXtremeDB/rt 1.2 The Data in Hard Real-time SCADA Systems Lets Companies Do More with Less McObject Delivers eXtremeDB 8.4 Improving Performance, Security, and Developer Productivity provided by Google News Deep PostgreSQL Thoughts: Valuing Currency At Build, Microsoft Fabric, PostgreSQL and Cosmos DB get AI enhancements Nutanix partners with EDB to fit database service for AI – Blocks and Files How to Import CSV Data Into PostgreSQL Using Spring Boot Batch Nutanix and EDB enhance PostgreSQL for enterprise apps provided by Google News Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector ... Weaviate Partners with Snowflake to Bring Secure GenAI to Snowpark Container Services Foley Represents Cortical Ventures in $50M Series B Round for Weaviate Getting Started with Weaviate: A Beginner's Guide to Search with Vector Databases Meet Verba 1.0: Run State-of-the-Art RAG Locally with Ollama Integration and Open Source Models provided by Google News | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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