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DBMS > GridGain vs. Rockset vs. SurrealDB vs. Teradata Aster vs. XTDB

System Properties Comparison GridGain vs. Rockset vs. SurrealDB vs. Teradata Aster vs. XTDB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonRockset  Xexclude from comparisonSurrealDB  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 RocksDBA fully ACID transactional, developer-friendly, multi-model DBMSPlatform 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 storeDocument store
Graph DBMS
Relational 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
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.gridgain.comrockset.comsurrealdb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.rockset.comsurrealdb.com/­docswww.xtdb.com/­docs
DeveloperGridGain Systems, Inc.RocksetSurrealDB LtdTeradataJuxt Ltd.
Initial release20072019202220052019
Current releaseGridGain 8.5.1v1.5.0, May 20241.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen SourcecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++RustClojure
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
macOS
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesschema-freeschema-freeFlexible 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 supportedyes infoin Aster File Storeno
Secondary indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLRead-only SQL queries, including JOINsSQL-like query languageyeslimited SQL, making use of Apache Calcite
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTGraphQL
RESTful HTTP API
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Deno
Go
JavaScript (Node.js)
Rust
C
C#
C++
Java
Python
R
Clojure
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noR packagesno
Triggersyes (cache interceptors and events)nonono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesyes 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)nonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononono
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.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users and organizations can be defined via Rockset consoleyes, based on authentication and database rulesfine grained access rights according to SQL-standard

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More resources
GridGainRocksetSurrealDBTeradata AsterXTDB infoformerly named Crux
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