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DBMS > Drizzle vs. Sqrrl vs. TiDB

System Properties Comparison Drizzle vs. Sqrrl vs. TiDB

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonSqrrl  Xexclude from comparisonTiDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Adaptable, secure NoSQL built on Apache AccumuloTiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#209  Overall
#31  Document stores
#17  Graph DBMS
#36  Key-value stores
#10  Wide column stores
Score1.63
Rank#126  Overall
#63  Relational DBMS
Websitesqrrl.compingcap.com
Technical documentationpingcap.com/­docs
DeveloperDrizzle project, originally started by Brian AkerAmazon infooriginally Sqrrl Data, Inc.PingCAP, Inc.
Initial release200820122016
Current release7.2.4, September 20123.0.0, June 2019
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaGo, Rust
Server operating systemsFreeBSD
Linux
OS X
LinuxLinux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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.no
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyes
APIs and other access methodsJDBCAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C++
Java
PHP
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonono
Triggersno infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomaking use of Hadoophorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
selectable replication factor infomaking use of HadoopUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integrityyesnono infocurrently only supported in syntax
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Users with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
DrizzleSqrrlTiDB
Specific characteristicsTiDB is an open source distributed scalable hybrid transactional and analytical processing...
» more
Competitive advantagesIn the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosTiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersBank of Beijing (Banking) Mobike (Ridesharing) Toutiao (Media) Ele.me (Catering)...
» more
Market metricsInfoWorld’s 2018 Best of Open Source Software Award winners 15000+ stars on GitHub...
» more
Licensing and pricing modelsOpen Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
News

How We Compiled a Golang Database in the Browser Using WebAssembly
16 November 2019

TiDB in the Browser: Running a Golang Database on WebAssembly
6 November 2019

Delivering Real-time Analytics and True HTAP by Combining Columnstore and Rowstore
4 November 2019

INSERT INTO tidb.hackathon_2019 VALUES ("Hack", "Fun", "TiDB Ecosystem")
30 October 2019

Safety First! Common Safety Pitfalls in Distributed Databases Found by Jepsen Tests
18 September 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DrizzleSqrrlTiDB
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