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DBMS > GridGain vs. Rockset vs. SAP IQ vs. Teradata Aster vs. XTDB

System Properties Comparison GridGain vs. Rockset vs. SAP IQ vs. Teradata Aster vs. XTDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonRockset  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonTeradata Aster  Xexclude from comparisonXTDB infoformerly named Crux  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 IgniteA scalable, reliable search and analytics service in the cloud, built on RocksDBColumnar RDBMS optimized for Big Data analyticsPlatform for big data analytics on multistructured data sources and typesA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Relational DBMS
Document storeRelational DBMS infocolumn-orientedRelational DBMSDocument store
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score2.75
Rank#104  Overall
#53  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.gridgain.comrockset.comwww.sap.com/­products/­technology-platform/­sybase-iq-big-data-management.htmlgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.rockset.comhelp.sap.com/­docs/­SAP_IQwww.xtdb.com/­docs
DeveloperGridGain Systems, Inc.RocksetSAP, formerly SybaseTeradataJuxt Ltd.
Initial release20072019199420052019
Current releaseGridGain 8.5.116.1 SPS04, April 20191.19, September 2021
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++Clojure
Server operating systemsLinux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or dateyesdynamic typingyesyesyes, extensible-data-notation format
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.yesno infoingestion from XML files supportednoyes infoin Aster File Storeno
Secondary indexesyesall fields are automatically indexedyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLRead-only SQL queries, including JOINsyesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTADO.NET
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Clojure
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesR packagesno
Triggersyes (cache interceptors and events)noyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingshared disk or shared nothing architectures with SAP IQ MultiplexerShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesSAP/Sybase Replication Serveryes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noHadoop integrationyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and organizations can be defined via Rockset consolefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GridGainRocksetSAP IQ infoformer name: Sybase IQTeradata AsterXTDB infoformerly named Crux
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