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DBMS > AgensGraph vs. EventStoreDB vs. Hawkular Metrics vs. SWC-DB

System Properties Comparison AgensGraph vs. EventStoreDB vs. Hawkular Metrics vs. SWC-DB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonEventStoreDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLIndustrial-strength, open-source database solution built from the ground up for event sourcing.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performance, scalable Wide Column DBMS
Primary database modelGraph DBMS
Relational DBMS
Event StoreTime Series DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitebitnine.net/­agensgraphwww.eventstore.comwww.hawkular.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationbitnine.net/­documentationdevelopers.eventstore.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperBitnine Global Inc.Event Store LimitedCommunity supported by Red HatAlex Kashirin
Initial release2016201220142020
Current release2.1, December 201821.2, February 20210.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open SourceOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Linux
Data schemedepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes
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.nonono
Secondary indexesyesno
SQL infoSupport of SQLyesnoSQL-like query language
APIs and other access methodsCypher Query Language
JDBC
HTTP RESTProprietary protocol
Thrift
Supported programming languagesC
Java
JavaScript
Python
Go
Java
Python
Ruby
C++
Server-side scripts infoStored proceduresyesnono
Triggersnoyes infovia Hawkular Alertingno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infobased on CassandraSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
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.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardno

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AgensGraphEventStoreDBHawkular MetricsSWC-DB infoSuper Wide Column Database
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