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DBMS > etcd vs. GigaSpaces vs. openGemini vs. SAP HANA vs. Sphinx

System Properties Comparison etcd vs. GigaSpaces vs. openGemini vs. SAP HANA vs. Sphinx

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGigaSpaces  Xexclude from comparisonopenGemini  Xexclude from comparisonSAP HANA  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA distributed reliable key-value storeHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalabilityIn-memory, column based data store. Available as appliance or cloud serviceOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMSSearch engine
Secondary database modelsGraph DBMS
Search engine
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.09
Rank#361  Overall
#37  Time Series DBMS
Score44.27
Rank#23  Overall
#16  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websiteetcd.io
github.com/­etcd-io/­etcd
www.gigaspaces.comwww.opengemini.org
github.com/­openGemini
www.sap.com/­products/­hana.htmlsphinxsearch.com
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.gigaspaces.com/­latest/­landing.htmldocs.opengemini.org/­guidehelp.sap.com/­hanasphinxsearch.com/­docs
DeveloperGigaspaces TechnologiesHuawei and openGemini communitySAPSphinx Technologies Inc.
Initial release2000202220102001
Current release3.4, August 201915.5, September 20201.1, July 20232.0 SPS07 (April 4, 2023), April 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono infoalso available as a cloud based serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetGoC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
macOS
Solaris
Windows
Linux
Windows
Appliance or cloud-serviceFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesInteger, Float, Boolean, Stringyesno
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 metadatanono
Secondary indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-99 for query and DML statementsSQL-like query languageyesSQL-like query language (SphinxQL)
APIs and other access methodsgRPC
JSON over HTTP
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP RESTJDBC
ODBC
Proprietary protocol
Supported programming languages.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
C++
Go
Java
JavaScript (Node.js)
Python
Rust
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesnoSQLScript, Rno
Triggersyes, watching key changesyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding infoPartitioning is done manually, search queries against distributed index is supported
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
yesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes 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.noyesyesyes
User concepts infoAccess controlnoRole-based access controlAdministrators and common users accountsyesno

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etcdGigaSpacesopenGeminiSAP HANASphinx
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