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DBMS > etcd vs. Graph Engine vs. Hazelcast vs. Microsoft Azure Table Storage vs. UniData,UniVerse

System Properties Comparison etcd vs. Graph Engine vs. Hazelcast vs. Microsoft Azure Table Storage vs. UniData,UniVerse

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA distributed reliable key-value storeA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA widely adopted in-memory data gridA Wide Column Store for rapid development using massive semi-structured datasetsMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeGraph DBMS
Key-value store
Key-value storeWide column storeMultivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.graphengine.iohazelcast.comazure.microsoft.com/­en-us/­services/­storage/­tableswww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.graphengine.io/­docs/­manualhazelcast.org/­imdg/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperMicrosoftHazelcastMicrosoftRocket Software
Initial release2010200820121985
Current release3.4, August 20195.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo.NET and CJavaC
Server operating systemsFreeBSD
Linux
Windows infoexperimental
.NETAll OS with a Java VMhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesschema-freeschema-freeschema-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.nonoyes infothe object must implement a serialization strategyno
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnonoSQL-like query languagenoyes
APIs and other access methodsgRPC
JSON over HTTP
RESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP APIJava 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
C#
C++
F#
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyesyes infoEvent Listeners, Executor Servicesnoyes
Triggersyes, watching key changesnoyes infoEventsnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoImplicit feature of the cloud servicenone
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 Mapyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoone or two-phase-commit; repeatable reads; read commitedoptimistic lockingACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlnoRole-based access controlAccess rights based on private key authentication or shared access signaturesAccess rights according to SQL-standard and operating system based

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etcdGraph Engine infoformer name: TrinityHazelcastMicrosoft Azure Table StorageUniData,UniVerse
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