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DBMS > GBase vs. HarperDB vs. OpenMLDB vs. Sphinx

System Properties Comparison GBase vs. HarperDB vs. OpenMLDB vs. Sphinx

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Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonHarperDB  Xexclude from comparisonOpenMLDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.An open-source machine learning database that provides a feature platform for training and inferenceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSDocument storeTime Series DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score0.02
Rank#367  Overall
#37  Time Series DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.gbase.cnwww.harperdb.ioopenmldb.aisphinxsearch.com
Technical documentationdocs.harperdb.io/­docsopenmldb.ai/­docs/­zh/­mainsphinxsearch.com/­docs
DeveloperGeneral Data Technology Co., Ltd.HarperDB4 Paradigm Inc.Sphinx Technologies Inc.
Initial release2004201720202001
Current releaseGBase 8a, GBase 8s, GBase 8c3.1, August 20212024-2 February 20243.5.1, February 2023
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availableOpen SourceOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonNode.jsC++, Java, ScalaC++
Server operating systemsLinuxLinux
OS X
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesdynamic schemaFixed schemayes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesno
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.yesnono
Secondary indexesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLStandard with numerous extensionsSQL-like data manipulation statementsyesSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
JDBC
SQLAlchemy
Proprietary protocol
Supported programming languagesC#.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Go
Java
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsCustom Functions infosince release 3.1nono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningA table resides as a whole on one (or more) nodes in a clusterhorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infothe nodes on which a table resides can be definedSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesAccess rights for users and rolesfine grained access rights according to SQL-standardno

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More resources
GBaseHarperDBOpenMLDBSphinx
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