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DBMS > Drizzle vs. Splice Machine vs. SQL.JS vs. Sqrrl

System Properties Comparison Drizzle vs. Splice Machine vs. SQL.JS vs. Sqrrl

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQL.JS  Xexclude from comparisonSqrrl  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.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkPort of SQLite to JavaScriptAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#257  Overall
#118  Relational DBMS
Score0.63
Rank#243  Overall
#111  Relational DBMS
Websitesplicemachine.comsql.js.orgsqrrl.com
Technical documentationsplicemachine.com/­how-it-workssql.js.org/­documentation/­index.html
DeveloperDrizzle project, originally started by Brian AkerSplice MachineAlon Zakai infoenhancements implemented by othersAmazon infooriginally Sqrrl Data, Inc.
Initial release2008201420122012
Current release7.2.4, September 20123.1, March 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoAGPL 3.0, commercial license availableOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScriptJava
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 extensionsyesyes infoSQL-92 is not fully supportedno
APIs and other access methodsJDBCJDBC
Native Spark Datasource
ODBC
JavaScript APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C++
Java
PHP
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScriptActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoyes infoJavanono
Triggersno infohooks for callbacks inside the server can be used.yesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
noneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesno infoexcept by serializing a db to a fileyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles according to SQL-standardnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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DrizzleSplice MachineSQL.JSSqrrl
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