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DBMS > EventStoreDB vs. FeatureBase vs. Hawkular Metrics vs. TerminusDB

System Properties Comparison EventStoreDB vs. FeatureBase vs. Hawkular Metrics vs. TerminusDB

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonFeatureBase  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTerminusDB infoformer name was DataChemist  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.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelEvent StoreRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.22
Rank#309  Overall
#139  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.eventstore.comwww.featurebase.comwww.hawkular.orgterminusdb.com
Technical documentationdevelopers.eventstore.comdocs.featurebase.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guideterminusdb.github.io/­terminusdb/­#
DeveloperEvent Store LimitedMolecula and Pilosa Open Source ContributorsCommunity supported by Red HatDataChemist Ltd.
Initial release2012201720142018
Current release21.2, February 20212022, May 202211.0.0, January 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaProlog, Rust
Server operating systemsLinux
Windows
Linux
macOS
Linux
OS X
Windows
Linux
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.nonono
Secondary indexesnono
SQL infoSupport of SQLSQL queriesnoSQL-like query language (WOQL)
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
HTTP RESTOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesJava
Python
Go
Java
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresnoyes
Triggersnoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandraJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoRole-based access control

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EventStoreDBFeatureBaseHawkular MetricsTerminusDB infoformer name was DataChemist
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