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DBMS > Datastax Enterprise vs. TerarkDB vs. Weaviate

System Properties Comparison Datastax Enterprise vs. TerarkDB vs. Weaviate

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Editorial information provided by DB-Engines
NameDatastax Enterprise  Xexclude from comparisonTerarkDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionDataStax 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.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelWide column storeKey-value storeVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.31
Rank#57  Overall
#4  Wide column stores
Score0.04
Rank#377  Overall
#58  Key-value stores
Score1.89
Rank#138  Overall
#4  Vector DBMS
Websitewww.datastax.com/­products/­datastax-enterprisegithub.com/­bytedance/­terarkdbgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.datastax.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcweaviate.io/­developers/­weaviate
DeveloperDataStaxByteDance, originally TerarkWeaviate B.V.
Initial release201120162019
Current release6.8, April 20201.19, May 2023
License infoCommercial or Open Sourcecommercialcommercial inforestricted open source version availableOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase 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.
Implementation languageJavaC++Go
Server operating systemsLinux
OS X
Data schemeschema-freeschema-freeyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesnoyes infostring, int, float, geo point, date, cross reference, fuzzy references
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesnoyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLnoGraphQL is used as query language
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
C++ API
Java API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"noneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users can be defined per objectnoAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
Datastax EnterpriseTerarkDBWeaviate
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
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Weaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
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Flexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
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As a database supporting the development of generative AI and semantic search applications...
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Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
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All companies that have data. ​
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Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
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As of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsAnnual subscription
» 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 EnterpriseTerarkDBWeaviate
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