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DBMS > c-treeEDGE vs. Sphinx vs. Splice Machine

System Properties Comparison c-treeEDGE vs. Sphinx vs. Splice Machine

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Editorial information provided by DB-Engines
Namec-treeEDGE  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDatabase built for IoT edge computing, which runs natively on ARM or x86 processors and on major IoT operating systems.Open 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
Relational DBMS
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#252  Overall
#43  Key-value stores
#117  Relational DBMS
Score6.34
Rank#60  Overall
#7  Search engines
Score0.79
Rank#190  Overall
#93  Relational DBMS
Websitewww.faircom.com/­products/­c-treeedge-iot-databasesphinxsearch.comsplicemachine.com
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorysphinxsearch.com/­docsdoc.splicemachine.com
DeveloperFairCom CorporationSphinx Technologies Inc.Splice Machine
Initial release197920012014
Current releaseV1, Juni 20183.2.1, January 20202.0
License infoCommercial or Open Sourcecommercial infoRestricted, free version 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 languageANSI C, C++C++Java
Server operating systemsAndroid
Linux
Raspbian
Windows infoeasily portable to other OSs
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesnoyes
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 indexesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyes infoANSI SQL queriesSQL-like query language (SphinxQL)yes
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
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 info.Net, JavaScript, C/C++noyes infoJava
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningSharding 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 nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsnoneMulti-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 systemImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyes, 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.yesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.noAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
c-treeEDGESphinxSplice Machine
Specific characteristicsThe c-treeEDGE IoT Database is a fast, flexible solution with a robust architecture...
» more
THE ONLY SCALE-OUT SQL RDBMS WITH BUILT-IN MACHINE LEARNING For data-rich, real-time...
» more
Competitive advantagesTop Features Micro footprint: As low as 37 MB IoT communication interfaces : MQTT,...
» more
Operational Workloads: Full ACID support with high performance at scale Multi-row...
» more
Typical application scenariosc-treeEDGE can be deployed at or near the data collection point (sensors) and used...
» more
New AI/ML and IoT Applications Data Warehouse Offloads Application Modernization...
» more
Key customersNew product
» more
Market metricsNew product
» more
Licensing and pricing modelsJust as the technical aspects of c-treeEDGE are flexible to meet operation requirements,...
» more
Kubernetes Community Edition: https://hub.helm.sh/charts/splicemachine/splice-helm...
» more
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