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DBMS > Altibase vs. Google Cloud Spanner vs. GridGain vs. Hive vs. JaguarDB

System Properties Comparison Altibase vs. Google Cloud Spanner vs. GridGain vs. Hive vs. JaguarDB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGridGain  Xexclude from comparisonHive  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.GridGain is an in-memory computing platform, built on Apache Ignitedata warehouse software for querying and managing large distributed datasets, built on HadoopPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMSKey-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Websitealtibase.comcloud.google.com/­spannerwww.gridgain.comhive.apache.orgwww.jaguardb.com
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualscloud.google.com/­spanner/­docswww.gridgain.com/­docs/­index.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewww.jaguardb.com/­support.html
DeveloperAltibaseGoogleGridGain Systems, Inc.Apache Software Foundation infoinitially developed by FacebookDataJaguar, Inc.
Initial release19992017200720122015
Current releasev7.3, 2023, August 2023GridGain 8.5.13.1.3, April 20223.3 July 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialcommercialOpen Source infoApache Version 2Open Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java, C++, .NetJavaC++ infothe server part. Clients available in other languages
Server operating systemsAIX
HP-UX
Linux
hostedLinux
OS X
Solaris
Windows
All OS with a Java VMLinux
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92yes infoQuery statements complying to ANSI 2011ANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJDBC
ODBC
Proprietary protocol
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC
C++
Java
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresstored procedures and stored functionsnoyes (compute grid and cache interceptors can be used instead)yes infouser defined functions and integration of map-reduceno
Triggersyesnoyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.yes (replicated cache)selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowyes (compute grid and hadoop accelerator)yes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoStrict serializable isolationACIDnono
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.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsAccess rights for users, groups and rolesrights management via user accounts

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AltibaseGoogle Cloud SpannerGridGainHiveJaguarDB
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