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DBMS > etcd vs. Hazelcast vs. MySQL vs. SpatiaLite vs. UniData,UniVerse

System Properties Comparison etcd vs. Hazelcast vs. MySQL vs. SpatiaLite vs. UniData,UniVerse

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHazelcast  Xexclude from comparisonMySQL  Xexclude from comparisonSpatiaLite  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA distributed reliable key-value storeA widely adopted in-memory data gridWidely used open source RDBMSSpatial extension of SQLiteMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeKey-value storeRelational DBMS infoKey/Value like access via memcached APISpatial DBMSMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Document store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.32
Rank#46  Overall
#5  Key-value stores
Score9.81
Rank#47  Overall
#6  Key-value stores
Score1212.52
Rank#2  Overall
#2  Relational DBMS
Score1.91
Rank#122  Overall
#2  Spatial DBMS
Score4.27
Rank#81  Overall
#2  Multivalue DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
hazelcast.comwww.mysql.comwww.gaia-gis.it/­fossil/­libspatialite/­indexwww.rocketsoftware.com/­products/­rocket-u2
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hazelcast.org/­imdg/­docsdev.mysql.com/­docwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlwww.rocketsoftware.com/­products/­rocket-u2/­documentation
DeveloperHazelcastOracle infosince 2010, originally MySQL AB, then SunAlessandro FurieriRocket Software
Initial release2008199520081985
Current release3.4, August 20194.2, March 20218.0.26, July 20215.0.0, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial
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.
ScaleGrid for MySQL: Fully managed MySQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageGoJavaC and C++C++C
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
server-lessAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesoptional
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.noyes infothe object must implement a serialization strategyyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infowith proprietary extensionsyesyes
APIs and other access methodsgRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesyes infoproprietary syntaxnoyes
Triggersyes, watching key changesyes infoEventsyesyesyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabricnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yes infoReplicated MapMulti-source replication
Source-replica replication
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engineyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACID infonot for MyISAM storage engineACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engineyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 controlUsers with fine-grained authorization concept infono user groups or rolesnoAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
etcdHazelcastMySQLSpatiaLiteUniData,UniVerse
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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