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DBMS > ScyllaDB vs. Sphinx vs. Splice Machine

System Properties Comparison ScyllaDB vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
NameScyllaDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionCassandra and DynamoDB compatible wide column storeOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value store
Wide column store
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.48
Rank#111  Overall
#22  Key-value stores
#8  Wide column stores
Score6.45
Rank#57  Overall
#6  Search engines
Score0.76
Rank#185  Overall
#93  Relational DBMS
Websitewww.scylladb.comsphinxsearch.comsplicemachine.com
Technical documentationdocs.scylladb.comsphinxsearch.com/­docsdoc.splicemachine.com
DeveloperScyllaDBSphinx Technologies Inc.Splice Machine
Initial release201520012014
Current releaseScylla Open Source 4.0.0, May 20203.2.1, January 20202.0
License infoCommercial or Open SourceOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++Java
Server operating systemsLinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyes infocluster global secondary indicesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL)SQL-like query language (SphinxQL)yes
APIs and other access methodsProprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesFor CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes, Luanoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoRepresentation of geographical distribution of servers is possiblenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoin-memory tablesyes
User concepts infoAccess controlAccess rights for users can be defined per objectnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
ScyllaDBSphinxSplice Machine
Specific characteristicsScylla is a highly-available, highly-scalable, highly-performant NoSQL database....
» more
Splice Machine is the open-source dual-engine RDBMS, powered by Hadoop and Spark....
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more

» more
Typical application scenariosAdTech ( AdGear , Dstillery , MediaMath , Numberly , SAS , SteelHouse , Xandr) Customer...
» more
Machine Learning, High Volume Financial Transaction processing, Internet of Things...
» more
Key customersComcast, Grab, OlaCabs, Yahoo! Japan, IMVU, Adgear, Xandr, Zenly, Natura, Snapfish,...
» more
Licensing and pricing modelsScylla Open Source - free open source software (AGPL) Scylla Enterprise - subscription-based...
» more
Free Open Source as well as Enterprise model available. See http://www.splicemachine.com/product/pricing...
» more
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