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DBMS > EXASOL vs. GridGain vs. Oracle Rdb vs. TimescaleDB vs. Weaviate

System Properties Comparison EXASOL vs. GridGain vs. Oracle Rdb vs. TimescaleDB vs. Weaviate

Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGridGain  Xexclude from comparisonOracle Rdb  Xexclude from comparisonTimescaleDB  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.GridGain is an in-memory computing platform, built on Apache IgniteA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLAn AI-native realtime vector database engine that integrates scalable machine learning models.
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSTime Series DBMSVector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.14
Rank#178  Overall
#80  Relational DBMS
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score1.52
Rank#153  Overall
#5  Vector DBMS
Websitewww.exasol.comwww.gridgain.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlwww.timescale.comgithub.com/­weaviate/­weaviate
weaviate.io
Technical documentationwww.exasol.com/­resourceswww.gridgain.com/­docs/­index.htmlwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.timescale.comweaviate.io/­developers/­weaviate
DeveloperExasolGridGain Systems, Inc.Oracle, originally developed by Digital Equipment Corporation (DEC)TimescaleWeaviate B.V.
Initial release20002007198420172019
Current releaseGridGain 8.5.17.4.1.1, 20212.15.0, May 20241.19, May 2023
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0Open Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetCGo
Server operating systemsLinux
OS X
Solaris
Windows
HP Open VMSLinux
OS X
Windows
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes 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.noyesnoyesno
Secondary indexesyesyesyesyesyes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLyesyes infofull PostgreSQL SQL syntaxGraphQL is used as query language
APIs and other access methods.Net
JDBC
ODBC
WebSocket
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesJava
Lua
Python
R
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
JavaScript / TypeScript
Python
Server-side scripts infoStored proceduresuser defined functionsyes (compute grid and cache interceptors can be used instead)user defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
Triggersyesyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication with hot standby and reads on replicas infoyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnonoyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAPI Keys
OpenID Connect Discovery
More information provided by the system vendor
EXASOLGridGainOracle RdbTimescaleDBWeaviate
Specific characteristicsWeaviate is an open source vector database that is robust, scalable, cloud-native,...
» more
Competitive advantagesFlexible deployment - Free, open source or fully-managed cloud vector database service...
» more
Typical application scenariosAs a database supporting the development of generative AI and semantic search applications...
» more
Key customersAll companies that have data. ​
» more
Market metricsAs of mid 2023: Over 2 million open source downloads 3500+ Weaviate Slack community...
» more
Licensing and pricing modelsWeaviate is open-source, and free to use. Weaviate is also available as a fully managed...
» more

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More resources
EXASOLGridGainOracle RdbTimescaleDBWeaviate
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