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DBMS > chDB vs. etcd vs. GigaSpaces vs. Sphinx vs. StarRocks

System Properties Comparison chDB vs. etcd vs. GigaSpaces vs. Sphinx vs. StarRocks

Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonetcd  Xexclude from comparisonGigaSpaces  Xexclude from comparisonSphinx  Xexclude from comparisonStarRocks  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseA distributed reliable key-value storeHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOpen source search engine for searching in data from different sources, e.g. relational databasesAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelRelational DBMSKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Search engineRelational DBMS
Secondary database modelsTime Series DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitegithub.com/­chdb-io/­chdbetcd.io
github.com/­etcd-io/­etcd
www.gigaspaces.comsphinxsearch.comwww.starrocks.io
Technical documentationdoc.chdb.ioetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.gigaspaces.com/­latest/­landing.htmlsphinxsearch.com/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperGigaspaces TechnologiesSphinx Technologies Inc.The Linux Foundation infosince Feb 2023
Initial release2023200020012020
Current release3.4, August 201915.5, September 20203.5.1, February 20233.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache Version 2.0
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 languageGoJava, C++, .NetC++C++, Java
Server operating systemsserver-lessFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyes
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 metadatano
Secondary indexesnoyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)noSQL-99 for query and DML statementsSQL-like query language (SphinxQL)yes
APIs and other access methodsgRPC
JSON over HTTP
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Proprietary protocolJDBC
MySQL protocol
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C++
Java
Python
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
Server-side scripts infoStored proceduresnoyesnouser defined functions
Triggersyes, watching key changesyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnoRole-based access controlnoRole based access control and fine grained access rights

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chDBetcdGigaSpacesSphinxStarRocks
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