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DBMS > Apache Druid vs. Riak KV vs. Sadas Engine vs. TigerGraph

System Properties Comparison Apache Druid vs. Riak KV vs. Sadas Engine vs. TigerGraph

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMS
Time Series DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.29
Rank#95  Overall
#49  Relational DBMS
#7  Time Series DBMS
Score4.44
Rank#80  Overall
#9  Key-value stores
Score0.03
Rank#379  Overall
#156  Relational DBMS
Score1.83
Rank#141  Overall
#13  Graph DBMS
Websitedruid.apache.orgwww.sadasengine.comwww.tigergraph.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationdocs.tigergraph.com
DeveloperApache Software Foundation and contributorsOpenSource, formerly Basho TechnologiesSADAS s.r.l.
Initial release2012200920062017
Current release29.0.1, April 20243.2.0, December 20228.0
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache version 2, commercial enterprise editioncommercial infofree trial version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlangC++C++
Server operating systemsLinux
OS X
Unix
Linux
OS X
AIX
Linux
Windows
Linux
Data schemeyes infoschema-less columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononono
Secondary indexesyesrestrictedyes
SQL infoSupport of SQLSQL for queryingnoyesSQL-like query language (GSQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
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
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++
Java
Server-side scripts infoStored proceduresnoErlangnoyes
Triggersnoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infono "single point of failure"horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storedyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 infomanaged by 'Learn by Usage'no
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
Apache DruidRiak KVSadas EngineTigerGraph
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