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DBMS > Apache Druid vs. Atos Standard Common Repository vs. Drizzle vs. Teradata vs. TigerGraph

System Properties Comparison Apache Druid vs. Atos Standard Common Repository vs. Drizzle vs. Teradata vs. TigerGraph

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonTeradata  Xexclude from comparisonTigerGraph  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A hybrid cloud data analytics software platform (Teradata Vantage)A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitedruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.teradata.comwww.tigergraph.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.teradata.comdocs.tigergraph.com
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsDrizzle project, originally started by Brian AkerTeradata
Initial release20122016200819842017
Current release29.0.1, April 202417037.2.4, September 2012Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoGNU GPLcommercialcommercial
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 languageJavaJavaC++C++
Server operating systemsLinux
OS X
Unix
LinuxFreeBSD
Linux
OS X
hosted
Linux
Linux
Data schemeyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesyes
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.noyesyesno
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL for queryingnoyes infowith proprietary extensionsyes infoSQL 2016 + extensionsSQL-like query language (GSQL)
APIs and other access methodsJDBC
RESTful HTTP/JSON API
LDAPJDBC.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsC
C++
Java
PHP
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C++
Java
Server-side scripts infoStored proceduresnononoyes infoUDFs, stored procedures, table functions in parallelyes
Triggersnoyesno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infocell divisionShardingSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDACIDACID
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.noyesyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardRole-based access control

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More resources
Apache DruidAtos Standard Common RepositoryDrizzleTeradataTigerGraph
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