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DBMS > BigchainDB vs. Datomic vs. EJDB vs. Firebolt vs. HBase

System Properties Comparison BigchainDB vs. Datomic vs. EJDB vs. Firebolt vs. HBase

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDatomic  Xexclude from comparisonEJDB  Xexclude from comparisonFirebolt  Xexclude from comparisonHBase  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Highly scalable cloud data warehouse and analytics product infoForked from ClickhouseWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelDocument storeRelational DBMSDocument storeRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score1.90
Rank#134  Overall
#62  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Websitewww.bigchaindb.comwww.datomic.comgithub.com/­Softmotions/­ejdbwww.firebolt.iohbase.apache.org
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.firebolt.iohbase.apache.org/­book.html
DeveloperCognitectSoftmotionsFirebolt Analytics Inc.Apache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20162012201220202008
Current release1.0.6735, June 20232.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infolimited edition freeOpen Source infoGPLv2commercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonJava, ClojureCJava
Server operating systemsLinuxAll OS with a Java VMserver-lesshostedLinux
Unix
Windows infousing Cygwin
Data schemeschema-freeyesschema-freeyesschema-free, schema definition possible
Typing infopredefined data types such as float or datenoyesyes infostring, integer, double, bool, date, object_idyesoptions to bring your own types, AVRO
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 indexesyesnoyesno
SQL infoSupport of SQLnononoyesno
APIs and other access methodsCLI Client
RESTful HTTP API
RESTful HTTP APIin-process shared library.Net
ODBC
RESTful HTTP API
Java API
RESTful HTTP API
Thrift
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Clojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
JavaScript (Node.js)
Python
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonoyes infoCoprocessors in Java
TriggersBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornone infoBut extensive use of caching in the application peersnonedepending on storage layerMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonono infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlyesnonoAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
BigchainDBDatomicEJDBFireboltHBase
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