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DBMS > Badger vs. BigObject vs. GigaSpaces vs. Splice Machine

System Properties Comparison Badger vs. BigObject vs. GigaSpaces vs. Splice Machine

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigObject  Xexclude from comparisonGigaSpaces  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Analytic DBMS for real-time computations and queriesHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value storeRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbigobject.iowww.gigaspaces.comsplicemachine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bigobject.iodocs.gigaspaces.com/­latest/­landing.htmlsplicemachine.com/­how-it-works
DeveloperDGraph LabsBigObject, Inc.Gigaspaces TechnologiesSplice Machine
Initial release2017201520002014
Current release15.5, September 20203.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community edition availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
macOS
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesyes
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 infoXML can be used for describing objects metadata
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-99 for query and DML statementsyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo.Net
C++
Java
Python
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoLuayesyes infoJava
Triggersnonoyes, event driven architectureyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlnonoRole-based access controlAccess rights for users, groups and roles according to SQL-standard

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More resources
BadgerBigObjectGigaSpacesSplice Machine
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