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DBMS > chDB vs. etcd vs. OrientDB vs. Riak TS vs. Splice Machine

System Properties Comparison chDB vs. etcd vs. OrientDB vs. Riak TS vs. Splice Machine

Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonetcd  Xexclude from comparisonOrientDB  Xexclude from comparisonRiak TS  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseA distributed reliable key-value storeMulti-model DBMS (Document, Graph, Key/Value)Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KVOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Time Series DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score7.03
Rank#54  Overall
#5  Key-value stores
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitegithub.com/­chdb-io/­chdbetcd.io
github.com/­etcd-io/­etcd
orientdb.orgsplicemachine.com
Technical documentationdoc.chdb.ioetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.orientdb.com/­docs/­last/­index.htmlwww.tiot.jp/­riak-docs/­riak/­ts/­latestsplicemachine.com/­how-it-works
DeveloperOrientDB LTD; CallidusCloud; SAPOpen Source, formerly Basho TechnologiesSplice Machine
Initial release2023201020152014
Current release3.4, August 20193.2.29, March 20243.0.0, September 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache version 2Open SourceOpen Source infoAGPL 3.0, 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 languageGoJavaErlangJava
Server operating systemsserver-lessFreeBSD
Linux
Windows infoexperimental
All OS with a Java JDK (>= JDK 6)Linux
OS X
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-freeyes
Typing infopredefined data types such as float or datenoyesnoyes
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 indexesnoyesrestrictedyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)noSQL-like query language, no joinsyes, limitedyes
APIs and other access methodsgRPC
JSON over HTTP
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
HTTP API
Native Erlang Interface
JDBC
Native Spark Datasource
ODBC
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoJava, JavascriptErlangyes infoJava
Triggersyes, watching key changesHooksyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
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 replicationselectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infocould be achieved with distributed queriesyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationship in graphsno infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users and roles; record level security configurablenoAccess rights for users, groups and roles according to SQL-standard

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More resources
chDBetcdOrientDBRiak TSSplice Machine
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