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DBMS > Apache Druid vs. Atos Standard Common Repository vs. IBM Db2 Event Store vs. mSQL vs. RRDtool

System Properties Comparison Apache Druid vs. Atos Standard Common Repository vs. IBM Db2 Event Store vs. mSQL vs. RRDtool

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRRDtool  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 networksDistributed Event Store optimized for Internet of Things use casesmSQL (Mini SQL) is a simple and lightweight RDBMSIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.
Primary database modelRelational DBMS
Time Series DBMS
Document store
Key-value store
Event Store
Time Series DBMS
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score1.90
Rank#132  Overall
#11  Time Series DBMS
Websitedruid.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ibm.com/­products/­db2-event-storehughestech.com.au/­products/­msqloss.oetiker.ch/­rrdtool
Technical documentationdruid.apache.org/­docs/­latest/­designwww.ibm.com/­docs/­en/­db2-event-storeoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software Foundation and contributorsAtos Convergence CreatorsIBMHughes TechnologiesTobias Oetiker
Initial release20122016201719941999
Current release29.0.1, April 202417032.04.4, October 20211.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infofree developer edition availablecommercial infofree licenses can be providedOpen Source infoGPL V2 and FLOSS
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC and C++CC infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinux
OS X
Unix
LinuxLinux infoLinux, macOS, Windows for the developer additionAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
HP-UX
Linux
Data schemeyes infoschema-less columns are supportedSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or dateyesoptionalyesyesNumeric data only
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.noyesnonono infoExporting into and restoring from XML files possible
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL for queryingnoyes infothrough the embedded Spark runtimeA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
LDAPADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
in-process shared library
Pipes
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages with LDAP bindingsC
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C++
Delphi
Java
Perl
PHP
Tcl
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresnonoyesnono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infocell divisionShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesActive-active shard replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistencynonenone
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnonono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutablenoyes infoby using the rrdcached daemon
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemLDAP bind authenticationfine grained access rights according to SQL-standardnono

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More resources
Apache DruidAtos Standard Common RepositoryIBM Db2 Event StoremSQL infoMini SQLRRDtool
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