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DBMS > etcd vs. GeoSpock vs. GigaSpaces vs. TimesTen vs. Typesense

System Properties Comparison etcd vs. GeoSpock vs. GigaSpaces vs. TimesTen vs. Typesense

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonGeoSpock  Xexclude from comparisonGigaSpaces  Xexclude from comparisonTimesTen  Xexclude from comparisonTypesense  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA distributed reliable key-value storeSpatial and temporal data processing engine for extreme data scaleHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsIn-Memory RDBMS compatible to OracleA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelKey-value storeRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSSearch engine
Secondary database modelsTime Series DBMSGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websiteetcd.io
github.com/­etcd-io/­etcd
geospock.comwww.gigaspaces.comwww.oracle.com/­database/­technologies/­related/­timesten.htmltypesense.org
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
docs.gigaspaces.com/­latest/­landing.htmldocs.oracle.com/­database/­timesten-18.1typesense.org/­docs
DeveloperGeoSpockGigaspaces TechnologiesOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release200019982015
Current release3.4, August 20192.0, September 201915.5, September 202011 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, JavascriptJava, C++, .NetC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
hostedLinux
macOS
Solaris
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeschema-freeyesschema-freeyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonono infoXML can be used for describing objects metadatano
Secondary indexesnotemporal, categoricalyesyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-99 for query and DML statementsyesno
APIs and other access methodsgRPC
JSON over HTTP
JDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP 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++
Java
Python
Scala
C
C++
Java
PL/SQL
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresnonoyesPL/SQLno
Triggersyes, watching key changesnoyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnone
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
Multi-source replication
Source-replica replication
Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
User concepts infoAccess controlnoAccess rights for users can be defined per tableRole-based access controlfine grained access rights according to SQL-standard

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More resources
etcdGeoSpockGigaSpacesTimesTenTypesense
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