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DBMS > etcd vs. gStore vs. Sadas Engine vs. Spark SQL vs. Speedb

System Properties Comparison etcd vs. gStore vs. Sadas Engine vs. Spark SQL vs. Speedb

Editorial information provided by DB-Engines
Nameetcd  Xexclude from comparisongStore  Xexclude from comparisonSadas Engine  Xexclude from comparisonSpark SQL  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionA distributed reliable key-value storeA native Graph DBMS to store and maintain very large RDF datasets.SADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelKey-value storeGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.03
Rank#54  Overall
#5  Key-value stores
Score0.14
Rank#342  Overall
#34  Graph DBMS
#16  RDF stores
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.26
Rank#310  Overall
#45  Key-value stores
Websiteetcd.io
github.com/­etcd-io/­etcd
en.gstore.cnwww.sadasengine.comspark.apache.org/­sqlwww.speedb.io
Technical documentationetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
en.gstore.cn/­#/­enDocswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperSADAS s.r.l.Apache Software FoundationSpeedb
Initial release2016200620142020
Current release3.4, August 20191.2, November 20238.03.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDcommercial infofree trial version availableOpen Source infoApache 2.0Open Source infoApache Version 2.0; commercial license available
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.
Implementation languageGoC++C++ScalaC++
Server operating systemsFreeBSD
Linux
Windows infoexperimental
LinuxAIX
Linux
Windows
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyesno
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.nonononono
Secondary indexesnoyesnono
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsno
APIs and other access methodsgRPC
JSON over HTTP
HTTP API
SPARQL 1.1
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C++
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C#
C++
Groovy
Java
PHP
Python
Java
Python
R
Scala
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoyesnonono
Triggersyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningyes, utilizing Spark Corehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.nonenoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 infomanaged by 'Learn by Usage'noyes
User concepts infoAccess controlnoUsers, roles and permissions, Role-Based Access Control (RBAC) supportedAccess rights for users, groups and roles according to SQL-standardnono
More information provided by the system vendor
etcdgStoreSadas EngineSpark SQLSpeedb
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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More resources
etcdgStoreSadas EngineSpark SQLSpeedb
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