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DBMS > GridGain vs. Microsoft Azure Table Storage vs. PostGIS vs. YugabyteDB

System Properties Comparison GridGain vs. Microsoft Azure Table Storage vs. PostGIS vs. YugabyteDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPostGIS  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA Wide Column Store for rapid development using massive semi-structured datasetsSpatial extension of PostgreSQLHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelKey-value store
Relational DBMS
Wide column storeSpatial DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Wide column store
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
Score4.48
Rank#75  Overall
#6  Wide column stores
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitewww.gridgain.comazure.microsoft.com/­en-us/­services/­storage/­tablespostgis.netwww.yugabyte.com
Technical documentationwww.gridgain.com/­docs/­index.htmlpostgis.net/­documentationdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperGridGain Systems, Inc.MicrosoftYugabyte Inc.
Initial release2007201220052017
Current releaseGridGain 8.5.13.4.2, February 20242.19, September 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageJava, C++, .NetCC and C++
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
OS X
Data schemeyesschema-freeyesdepending on used data model
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyesyes, PostgreSQL compatible
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP APIJDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nouser defined functionsyes infosql, plpgsql, C
Triggersyes (cache interceptors and events)noyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyes infobased on PostgreSQLHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infobased on PostgreSQLBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
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 ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
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 implementationsAccess rights based on private key authentication or shared access signaturesyes infobased on PostgreSQLyes
More information provided by the system vendor
GridGainMicrosoft Azure Table StoragePostGISYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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More resources
GridGainMicrosoft Azure Table StoragePostGISYugabyteDB
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