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DBMS > Apache Druid vs. Atos Standard Common Repository vs. BigchainDB vs. GridGain vs. IBM Db2 Event Store

System Properties Comparison Apache Druid vs. Atos Standard Common Repository vs. BigchainDB vs. GridGain vs. IBM Db2 Event Store

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBigchainDB  Xexclude from comparisonGridGain  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
This system has been discontinued and will be removed 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 networksBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsGridGain is an in-memory computing platform, built on Apache IgniteDistributed Event Store optimized for Internet of Things use cases
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Document storeKey-value store
Relational DBMS
Event Store
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
Score0.79
Rank#212  Overall
#36  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitedruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.bigchaindb.comwww.gridgain.comwww.ibm.com/­products/­db2-event-store
Technical documentationdruid.apache.org/­docs/­latest/­designbigchaindb.readthedocs.io/­en/­latestwww.gridgain.com/­docs/­index.htmlwww.ibm.com/­docs/­en/­db2-event-store
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsGridGain Systems, Inc.IBM
Initial release20122016201620072017
Current release29.0.1, April 20241703GridGain 8.5.12.0
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoAGPL v3commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaPythonJava, C++, .NetC and C++
Server operating systemsLinux
OS X
Unix
LinuxLinuxLinux
OS X
Solaris
Windows
Linux infoLinux, macOS, Windows for the developer addition
Data schemeyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsschema-freeyesyes
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.noyesnoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingnonoANSI-99 for query and DML statements, subset of DDLyes infothrough the embedded Spark runtime
APIs and other access methodsJDBC
RESTful HTTP/JSON API
LDAPCLI Client
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresnonoyes (compute grid and cache interceptors can be used instead)yes
Triggersnoyesyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infocell divisionShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesselectable replication factoryes (replicated cache)Active-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationyesSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
Apache DruidAtos Standard Common RepositoryBigchainDBGridGainIBM Db2 Event Store
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