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DBMS > Apache Druid vs. CockroachDB vs. mSQL vs. RocksDB vs. Sqrrl

System Properties Comparison Apache Druid vs. CockroachDB vs. mSQL vs. RocksDB vs. Sqrrl

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCockroachDB  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonRocksDB  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 dataCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.mSQL (Mini SQL) is a simple and lightweight RDBMSEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score1.26
Rank#163  Overall
#74  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitedruid.apache.orgwww.cockroachlabs.comhughestech.com.au/­products/­msqlrocksdb.orgsqrrl.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.cockroachlabs.com/­docsgithub.com/­facebook/­rocksdb/­wiki
DeveloperApache Software Foundation and contributorsCockroach LabsHughes TechnologiesFacebook, Inc.Amazon infooriginally Sqrrl Data, Inc.
Initial release20122015199420132012
Current release30.0.0, June 202424.1.0, May 20244.4, October 20219.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0, commercial license availablecommercial infofree licenses can be providedOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoCC++Java
Server operating systemsLinux
OS X
Unix
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
LinuxLinux
Data schemeyes infoschema-less columns are supporteddynamic schemayesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesyesyesnoyes
SQL infoSupport of SQLSQL for queryingyes, wire compatible with PostgreSQLA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersnono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCJDBC
ODBC
C++ API
Java API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C++
Delphi
Java
Perl
PHP
Tcl
C
C++
Go
Java
Perl
Python
Ruby
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnonononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnonehorizontal partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replication using RAFTnoneyesselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoyesAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
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.nononoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemRole-based access controlnonoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Apache DruidCockroachDBmSQL infoMini SQLRocksDBSqrrl
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