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DBMS > BigchainDB vs. EventStoreDB vs. Kyligence Enterprise vs. OrigoDB vs. Prometheus

System Properties Comparison BigchainDB vs. EventStoreDB vs. Kyligence Enterprise vs. OrigoDB vs. Prometheus

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOrigoDB  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsIndustrial-strength, open-source database solution built from the ground up for event sourcing.A distributed analytics engine for big data, built on top of Apache KylinA fully ACID in-memory object graph databaseOpen-source Time Series DBMS and monitoring system
Primary database modelDocument storeEvent StoreRelational DBMSDocument store
Object oriented DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score1.10
Rank#179  Overall
#1  Event Stores
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Websitewww.bigchaindb.comwww.eventstore.comkyligence.io/­kyligence-enterpriseorigodb.comprometheus.io
Technical documentationbigchaindb.readthedocs.io/­en/­latestdevelopers.eventstore.comorigodb.com/­docsprometheus.io/­docs
DeveloperEvent Store LimitedKyligence, Inc.Robert Friberg et al
Initial release2016201220162009 infounder the name LiveDB2015
Current release21.2, February 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open SourcecommercialOpen SourceOpen Source infoApache 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 languagePythonJavaC#Go
Server operating systemsLinuxLinux
Windows
LinuxLinux
Windows
Linux
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesUser defined using .NET types and collectionsNumeric data only
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 infocan be achieved using .NETno infoImport of XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLnoANSI SQL for queries (using Apache Calcite)nono
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
RESTful HTTP/JSON API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesno
Triggersyes infoDomain Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynodepending on modelno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyesRole based authorizationno

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More resources
BigchainDBEventStoreDBKyligence EnterpriseOrigoDBPrometheus
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