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DBMS > GridGain vs. ObjectBox vs. Prometheus vs. Teradata Aster vs. TerminusDB

System Properties Comparison GridGain vs. ObjectBox vs. Prometheus vs. Teradata Aster vs. TerminusDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonObjectBox  Xexclude from comparisonPrometheus  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteExtremely fast embedded database for small devices, IoT and MobileOpen-source Time Series DBMS and monitoring systemPlatform for big data analytics on multistructured data sources and typesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value store
Relational DBMS
Object oriented DBMSTime Series DBMSRelational DBMSGraph DBMS
Secondary database modelsTime Series DBMSDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitewww.gridgain.comobjectbox.ioprometheus.ioterminusdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.objectbox.ioprometheus.io/­docsterminusdb.github.io/­terminusdb/­#
DeveloperGridGain Systems, Inc.ObjectBox LimitedTeradataDataChemist Ltd.
Initial release20072017201520052018
Current releaseGridGain 8.5.111.0.0, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache License 2.0Open Source infoApache 2.0commercialOpen Source infoGPL V3
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++, .NetC and C++GoProlog, Rust
Server operating systemsLinux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Linux
Windows
LinuxLinux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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.yesnono infoImport of XML data possibleyes infoin Aster File Storeno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoyesSQL-like query language (WOQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary native APIRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C
C#
C++
Java
Python
R
JavaScript
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nonoR packagesyes
Triggersyes (cache interceptors and events)nononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)online/offline synchronization between client and serveryes infoby Federationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.Journaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlSecurity Hooks for custom implementationsyesnofine grained access rights according to SQL-standardRole-based access control
More information provided by the system vendor
GridGainObjectBoxPrometheusTeradata AsterTerminusDB infoformer name was DataChemist
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