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DBMS > Datomic vs. EsgynDB vs. Netezza vs. Weaviate

System Properties Comparison Datomic vs. EsgynDB vs. Netezza vs. Weaviate

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonEsgynDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionData warehouse and analytics appliance part of IBM PureSystemsAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSRelational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.73
Rank#143  Overall
#5  Vector DBMS
Websitewww.datomic.comwww.esgyn.cnwww.ibm.com/­products/­netezzagithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationdocs.datomic.comweaviate.io/­developers/­weaviate
DeveloperCognitectEsgynIBMWeaviate B.V.
Initial release2012201520002019
Current release1.0.6735, June 20231.19, May 2023
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++, JavaGo
Server operating systemsAll OS with a Java VMLinuxLinux infoincluded in appliance
Data schemeyesyesyesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesyes 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 indexesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLnoyesyesGraphQL is used as query language
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesClojure
Java
All languages supporting JDBC/ODBC/ADO.NetC
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Proceduresyesno
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication between multi datacentersSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
DatomicEsgynDBNetezza infoAlso called PureData System for Analytics by IBMWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
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Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
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Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
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Key customersAll companies that have data. ​
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Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
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Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
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DatomicEsgynDBNetezza infoAlso called PureData System for Analytics by IBMWeaviate
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