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DBMS > etcd vs. Fujitsu Enterprise Postgres vs. GeoSpock vs. SwayDB vs. UniData,UniVerse

System Properties Comparison etcd vs. Fujitsu Enterprise Postgres vs. GeoSpock vs. SwayDB vs. UniData,UniVerse

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGeoSpock  Xexclude from comparisonSwayDB  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionA distributed reliable key-value storeEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Spatial and temporal data processing engine for extreme data scaleAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value storeMultivalue DBMS
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websiteetcd.io
github.com/­etcd-io/­etcd
www.postgresql.fastware.comgeospock.comswaydb.simer.auwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.postgresql.fastware.com/­product-manualsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGeoSpockSimer PlahaRocket Software
Initial release20181985
Current release3.4, August 2019Fujitsu Enterprise Postgres 14, January 20222.0, September 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGNU Affero GPL V3.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoCJava, JavascriptScalaC
Server operating systemsFreeBSD
Linux
Windows infoexperimental
Linux
Windows
hostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyesnooptional
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
Secondary indexesnoyestemporal, categoricalnoyes
SQL infoSupport of SQLnoyesANSI SQL for query only (using Presto)noyes
APIs and other access methodsgRPC
JSON over HTTP
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJava 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++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Kotlin
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnouser defined functionsnonoyes
Triggersyes, watching key changesyesnonoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashAutomatic shardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Source-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoAtomic execution of operationsACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights for users can be defined per tablenoAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
etcdFujitsu Enterprise PostgresGeoSpockSwayDBUniData,UniVerse
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
etcdFujitsu Enterprise PostgresGeoSpockSwayDBUniData,UniVerse
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