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DBMS > GBase vs. Ignite vs. Microsoft Azure Synapse Analytics vs. SAP IQ vs. VictoriaMetrics

System Properties Comparison GBase vs. Ignite vs. Microsoft Azure Synapse Analytics vs. SAP IQ vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP IQ infoformer name: Sybase IQ  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionAn analytical database for business intelligence with large customers in China.Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerColumnar RDBMS optimized for Big Data analyticsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS infocolumn-orientedTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.17
Rank#161  Overall
#78  Relational DBMS
Score6.03
Rank#66  Overall
#9  Key-value stores
#36  Relational DBMS
Score18.49
Rank#38  Overall
#23  Relational DBMS
Score4.86
Rank#75  Overall
#42  Relational DBMS
Score0.56
Rank#233  Overall
#18  Time Series DBMS
Websitewww.gbase8a.comignite.apache.orgazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­sybase-iq-big-data-management.htmlvictoriametrics.com
Technical documentationapacheignite.readme.io/­docsdocs.microsoft.com/­azure/­synapse-analyticshelp.sap.com/­iqdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software FoundationMicrosoftSAP, formerly SybaseVictoriaMetrics
Initial release2015201619942018
Current releaseGBase 8aApache Ignite 2.616.1 SPS04, April 2019v1.63, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetC++Go
Server operating systemsLinux
OS X
Solaris
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyesyesyes
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.yesnonono
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyesno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
PHP
C
C#
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Transact SQLyesno
Triggersyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningshared disk or shared nothing architectures with SAP IQ Multiplexer
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesSAP/Sybase Replication ServerSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noHadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
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 implementationsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
GBaseIgniteMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP IQ infoformer name: Sybase IQVictoriaMetrics
Specific characteristicsHigh performance, horizontally scalable time series database and monitoring solution...
» more
Competitive advantagesSpecifically designed for highly loaded workloads Addresses most of the scalability...
» more
Typical application scenariosWhen the current monitoring solution can't keep up with increasing workload Kubernetes...
» more
Key customersGrammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...
» more
Market metrics4.9k stars and 70+ contributors on GitHub 20M+ downloads Thousands of active users...
» more
Licensing and pricing modelsVictoriaMetrics comes in two versions: an open source version and an Enterprise version....
» more

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More resources
GBaseIgniteMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP IQ infoformer name: Sybase IQVictoriaMetrics
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