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DBMS > GigaSpaces vs. Graphite vs. Spark SQL vs. Transbase vs. VictoriaMetrics

System Properties Comparison GigaSpaces vs. Graphite vs. Spark SQL vs. Transbase vs. VictoriaMetrics

Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonGraphite  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMSA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitewww.gigaspaces.comgithub.com/­graphite-project/­graphite-webspark.apache.org/­sqlwww.transaction.de/­en/­products/­transbase.htmlvictoriametrics.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlgraphite.readthedocs.iospark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­products/­transbase/­features.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperGigaspaces TechnologiesChris DavisApache Software FoundationTransaction Software GmbHVictoriaMetrics
Initial release20002006201419872018
Current release15.5, September 20203.5.0 ( 2.13), September 2023Transbase 8.3, 2022v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoApache 2.0commercial infofree development licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetPythonScalaC and C++Go
Server operating systemsLinux
macOS
Solaris
Windows
Linux
Unix
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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.no infoXML can be used for describing objects metadatanononono
Secondary indexesyesnonoyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnoSQL-like DML and DDL statementsyesno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP API
Sockets
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languages.Net
C++
Java
Python
Scala
JavaScript (Node.js)
Python
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesnonoyesno
Triggersyes, event driven architecturenonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
nonenoneSource-replica replicationSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoyesno
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyesyes
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.yesnonono
User concepts infoAccess controlRole-based access controlnonofine grained access rights according to SQL-standard

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More resources
GigaSpacesGraphiteSpark SQLTransbaseVictoriaMetrics
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