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DBMS > Ignite vs. Microsoft Azure Table Storage vs. PostGIS

System Properties Comparison Ignite vs. Microsoft Azure Table Storage vs. PostGIS

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Wide Column Store for rapid development using massive semi-structured datasetsSpatial extension of PostgreSQL
Primary database modelKey-value store
Relational DBMS
Wide column storeSpatial DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Websiteignite.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablespostgis.net
Technical documentationapacheignite.readme.io/­docspostgis.net/­documentation
DeveloperApache Software FoundationMicrosoft
Initial release201520122005
Current releaseApache Ignite 2.63.4.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC
Server operating systemsLinux
OS X
Solaris
Windows
hosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nouser defined functions
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyes infobased on PostgreSQL
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 PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 based on private key authentication or shared access signaturesyes infobased on PostgreSQL

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More resources
IgniteMicrosoft Azure Table StoragePostGIS
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