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DBMS > Apache Druid vs. mSQL vs. RocksDB vs. Splice Machine vs. Sqrrl

System Properties Comparison Apache Druid vs. mSQL vs. RocksDB vs. Splice Machine vs. Sqrrl

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRocksDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality datamSQL (Mini SQL) is a simple and lightweight RDBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSKey-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
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
Score1.27
Rank#169  Overall
#76  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitedruid.apache.orghughestech.com.au/­products/­msqlrocksdb.orgsplicemachine.comsqrrl.com
Technical documentationdruid.apache.org/­docs/­latest/­designgithub.com/­facebook/­rocksdb/­wikisplicemachine.com/­how-it-works
DeveloperApache Software Foundation and contributorsHughes TechnologiesFacebook, Inc.Splice MachineAmazon infooriginally Sqrrl Data, Inc.
Initial release20121994201320142012
Current release29.0.1, April 20244.4, October 20219.2.1, May 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree licenses can be providedOpen Source infoBSDOpen Source infoAGPL 3.0, commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++JavaJava
Server operating systemsLinux
OS X
Unix
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxLinux
OS X
Solaris
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesyesnoyesyes
SQL infoSupport of SQLSQL for queryingA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnoyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
C++ API
Java API
JDBC
Native Spark Datasource
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C++
Delphi
Java
Perl
PHP
Tcl
C
C++
Go
Java
Perl
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnononoyes infoJavano
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonehorizontal partitioningShared Nothhing Auto-Sharding, Columnar PartitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnoneyesMulti-source replication
Source-replica replication
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes, multi-version concurrency control (MVCC)yes
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.nonoyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnonoAccess rights for users, groups and roles according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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Apache DruidmSQL infoMini SQLRocksDBSplice MachineSqrrl
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