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DBMS > etcd vs. Hazelcast vs. HugeGraph vs. TimesTen

System Properties Comparison etcd vs. Hazelcast vs. HugeGraph vs. TimesTen

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Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonHazelcast  Xexclude from comparisonHugeGraph  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA distributed reliable key-value storeA widely adopted in-memory data gridA fast-speed and highly-scalable Graph DBMSIn-Memory RDBMS compatible to Oracle
Primary database modelKey-value storeKey-value storeGraph DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
hazelcast.comgithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
hazelcast.org/­imdg/­docshugegraph.apache.org/­docsdocs.oracle.com/­database/­timesten-18.1
DeveloperHazelcastBaiduOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release200820181998
Current release3.4, August 20195.3.6, November 20230.911 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJava
Server operating systemsFreeBSD
Linux
Windows infoexperimental
All OS with a Java VMLinux
macOS
Unix
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 strategynono
Secondary indexesnoyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnoSQL-like query languagenoyes
APIs and other access methodsgRPC
JSON over HTTP
JCache
JPA
Memcached protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
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
Groovy
Java
Python
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesasynchronous Gremlin script jobsPL/SQL
Triggersyes, watching key changesyes infoEventsnono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
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 infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesvia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpoints
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, roles and permissionsfine grained access rights according to SQL-standard

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More resources
etcdHazelcastHugeGraphTimesTen
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