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DBMS > BigchainDB vs. GigaSpaces vs. Heroic vs. OrientDB vs. Splice Machine

System Properties Comparison BigchainDB vs. GigaSpaces vs. Heroic vs. OrientDB vs. Splice Machine

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHeroic  Xexclude from comparisonOrientDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMulti-model DBMS (Document, Graph, Key/Value)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSDocument store
Graph DBMS
Key-value store
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.82
Rank#212  Overall
#36  Document stores
Score1.02
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score3.27
Rank#97  Overall
#16  Document stores
#6  Graph DBMS
#15  Key-value stores
Score0.54
Rank#255  Overall
#116  Relational DBMS
Websitewww.bigchaindb.comwww.gigaspaces.comgithub.com/­spotify/­heroicorientdb.orgsplicemachine.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.gigaspaces.com/­latest/­landing.htmlspotify.github.io/­heroicwww.orientdb.com/­docs/­last/­index.htmlsplicemachine.com/­how-it-works
DeveloperGigaspaces TechnologiesSpotifyOrientDB LTD; CallidusCloud; SAPSplice Machine
Initial release20162000201420102014
Current release15.5, September 20203.2.29, March 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open Source infoApache version 2Open Source infoAGPL 3.0, commercial license available
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 languagePythonJava, C++, .NetJavaJavaJava
Server operating systemsLinuxLinux
macOS
Solaris
Windows
All OS with a Java JDK (>= JDK 6)Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nono infoXML can be used for describing objects metadatanono
Secondary indexesyesyes infovia Elasticsearchyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnoSQL-like query language, no joinsyes
APIs and other access methodsCLI Client
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C++
Java
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnoJava, Javascriptyes infoJava
Triggersyes, event driven architecturenoHooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono infocould be achieved with distributed queriesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes inforelationship in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyesRole-based access controlAccess rights for users and roles; record level security configurableAccess rights for users, groups and roles according to SQL-standard

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BigchainDBGigaSpacesHeroicOrientDBSplice Machine
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