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DBMS > Badger vs. Quasardb vs. Splice Machine vs. TimesTen

System Properties Comparison Badger vs. Quasardb vs. Splice Machine vs. TimesTen

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonQuasardb  Xexclude from comparisonSplice Machine  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed, high-performance timeseries databaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerquasar.aisplicemachine.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdoc.quasar.ai/­mastersplicemachine.com/­how-it-worksdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperDGraph LabsquasardbSplice MachineOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2017200920141998
Current release3.14.1, January 20243.1, March 2021Release 22.1
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java
Server operating systemsBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes infointeger and binaryyesyes
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 indexesnoyes infowith tagsyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes
APIs and other access methodsHTTP APIJDBC
Native Spark Datasource
ODBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesGo.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnonoyes infoJavaPL/SQL
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoconsistent hashingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with selectable replication factorMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyesyes
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard

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BadgerQuasardbSplice MachineTimesTen
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