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DBMS > EventStoreDB vs. FeatureBase vs. Graphite vs. Greenplum

System Properties Comparison EventStoreDB vs. FeatureBase vs. Graphite vs. Greenplum

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonGraphite  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.Real-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.
Primary database modelEvent StoreRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#181  Overall
#1  Event Stores
Score0.23
Rank#296  Overall
#134  Relational DBMS
Score5.19
Rank#62  Overall
#4  Time Series DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Websitewww.eventstore.comwww.featurebase.comgithub.com/­graphite-project/­graphite-webgreenplum.org
Technical documentationdevelopers.eventstore.comdocs.featurebase.comgraphite.readthedocs.iodocs.greenplum.org
DeveloperEvent Store LimitedMolecula and Pilosa Open Source ContributorsChris DavisPivotal Software Inc.
Initial release2012201720062005
Current release21.2, February 20212022, May 20227.0.0, September 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoPython
Server operating systemsLinux
Windows
Linux
macOS
Linux
Unix
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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.nonoyes infosince Version 4.2
Secondary indexesnonoyes
SQL infoSupport of SQLSQL queriesnoyes
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP API
Sockets
JDBC
ODBC
Supported programming languagesJava
Python
JavaScript (Node.js)
Python
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnofine grained access rights according to SQL-standard

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More resources
EventStoreDBFeatureBaseGraphiteGreenplum
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