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DBMS > Bangdb vs. Percona Server for MySQL vs. Sphinx vs. Splice Machine vs. TDSQL for MySQL

System Properties Comparison Bangdb vs. Percona Server for MySQL vs. Sphinx vs. Splice Machine vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonPercona Server for MySQL  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonTDSQL for MySQL  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphEnhanced drop-in replacement for MySQL based on XtraDB or TokuDB storage engines with improved performance and additional diagnostic and management features.Open source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score2.10
Rank#119  Overall
#57  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.85
Rank#207  Overall
#97  Relational DBMS
Websitebangdb.comwww.percona.com/­software/­mysql-database/­percona-serversphinxsearch.comsplicemachine.comwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.bangdb.comwww.percona.com/­downloads/­Percona-Server-LATESTsphinxsearch.com/­docssplicemachine.com/­how-it-workswww.tencentcloud.com/­document/­product/­1042
DeveloperSachin Sinha, BangDBPerconaSphinx Technologies Inc.Splice MachineTencent
Initial release20122008200120142013
Current releaseBangDB 2.0, October 20218.0.36-28, 20243.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoGPL version 2Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C and C++C++Java
Server operating systemsLinuxLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
hosted
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnoyesyes
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.noyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLSQL like support with command line toolyesSQL-like query language (SphinxQL)yesyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary protocolJDBC
Native Spark Datasource
ODBC
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
Ada
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoyes infoJavayes
Triggersyes, Notifications (with Streaming only)yesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar PartitioningAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
XtraDB Cluster
noneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesyesno
User concepts infoAccess controlyes (enterprise version only)Users with fine-grained authorization concept infono user groups or rolesnoAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept

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More resources
BangdbPercona Server for MySQLSphinxSplice MachineTDSQL for MySQL
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