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

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

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQL.JS  Xexclude from comparisonSqrrl  Xexclude from comparisonXTDB infoformerly named Crux  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 AccumuloA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.53
Rank#252  Overall
#116  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitesplicemachine.comsql.js.orgsqrrl.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationsplicemachine.com/­how-it-workssql.js.org/­documentation/­index.htmlwww.xtdb.com/­docs
DeveloperDrizzle project, originally started by Brian AkerSplice MachineAlon Zakai infoenhancements implemented by othersAmazon infooriginally Sqrrl Data, Inc.Juxt Ltd.
Initial release20082014201220122019
Current release7.2.4, September 20123.1, March 20211.19, September 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoAGPL 3.0, commercial license availableOpen SourcecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaScriptJavaClojure
Server operating systemsFreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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.nono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsyesyes infoSQL-92 is not fully supportednolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCJDBC
Native Spark Datasource
ODBC
JavaScript APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
HTTP REST
JDBC
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
Clojure
Java
Server-side scripts infoStored proceduresnoyes infoJavanonono
Triggersno infohooks for callbacks inside the server can be used.yesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding infomaking use of Hadoopnone
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 Hadoopyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoYes, via Full Spark Integrationnoyesno
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 integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesno infoexcept by serializing a db to a fileyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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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More resources
DrizzleSplice MachineSQL.JSSqrrlXTDB infoformerly named Crux
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