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DBMS > GridGain vs. H2GIS vs. Hyprcubd vs. Rockset vs. Tarantool

System Properties Comparison GridGain vs. H2GIS vs. Hyprcubd vs. Rockset vs. Tarantool

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonH2GIS  Xexclude from comparisonHyprcubd  Xexclude from comparisonRockset  Xexclude from comparisonTarantool  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteSpatial extension of H2Serverless Time Series DBMSA scalable, reliable search and analytics service in the cloud, built on RocksDBIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelKey-value store
Relational DBMS
Spatial DBMSTime Series DBMSDocument storeDocument store
Key-value store
Relational DBMS
Secondary database modelsRelational DBMSRelational DBMS
Search engine
Spatial DBMS infowith Tarantool/GIS extension
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
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score0.82
Rank#212  Overall
#36  Document stores
Score1.67
Rank#143  Overall
#25  Document stores
#25  Key-value stores
#65  Relational DBMS
Websitewww.gridgain.comwww.h2gis.orghyprcubd.com (offline)rockset.comwww.tarantool.io
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.h2gis.org/­docs/­homedocs.rockset.comwww.tarantool.io/­en/­doc
DeveloperGridGain Systems, Inc.CNRSHyprcubd, Inc.RocksetVK
Initial release2007201320192008
Current releaseGridGain 8.5.12.10.0, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0commercialcommercialOpen Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaGoC++C and C++
Server operating systemsLinux
OS X
Solaris
Windows
hostedhostedBSD
Linux
macOS
Data schemeyesyesyesschema-freeFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringdynamic typingstring, double, decimal, uuid, integer, blob, boolean, datetime
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.yesnonono infoingestion from XML files supportedno
Secondary indexesyesyesnoall fields are automatically indexedyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesSQL-like query languageRead-only SQL queries, including JOINsFull-featured ANSI SQL support
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC (https)HTTP RESTOpen binary protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaGo
Java
JavaScript (Node.js)
Python
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infobased on H2nonoLua, C and SQL stored procedures
Triggersyes (cache interceptors and events)yesnonoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesShardingnoneAutomatic shardingSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infobased on H2yesAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)noyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infobased on H2token accessAccess rights for users and organizations can be defined via Rockset consoleAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles

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More resources
GridGainH2GISHyprcubdRocksetTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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