DB-EnginesEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > PieCloudDB vs. SiteWhere vs. Sphinx vs. Splice Machine

System Properties Comparison PieCloudDB vs. SiteWhere vs. Sphinx vs. Splice Machine

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NamePieCloudDB  Xexclude from comparisonSiteWhere  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA cloud-native analytic database platform with new technologoy for elastic MPPM2M integration platform for persisting/querying time series dataOpen 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 modelRelational DBMSTime Series DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#270  Overall
#126  Relational DBMS
Score0.07
Rank#345  Overall
#31  Time Series DBMS
Score5.92
Rank#58  Overall
#6  Search engines
Score0.54
Rank#244  Overall
#114  Relational DBMS
Websitewww.openpie.comgithub.com/­sitewhere/­sitewheresphinxsearch.comsplicemachine.com
Technical documentationsitewhere1.sitewhere.io/­index.htmlsphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperOpenPieSiteWhereSphinx Technologies Inc.Splice Machine
Initial release201020012014
Current release2.1, January 20233.5.1, February 20233.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Java
Server operating systemshostedLinux
OS X
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyespredefined schemeyesyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesnoSQL-like query language (SphinxQL)yes
APIs and other access methodsCLI Client
JDBC
ODBC
HTTP RESTProprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
PL/SQL
Python
R
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 proceduresuser defined functionsnoyes infoJava
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesyesSharding infobased on HBaseSharding 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 nodesyesselectable replication factor infobased on HBasenoneMulti-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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes 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.noyes
User concepts infoAccess controlUser Roles and pluggable authentication with full SQL StandardUsers with fine-grained authorization conceptnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
PieCloudDBSiteWhereSphinxSplice Machine
Specific characteristicsPieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesExtreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosPieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersSail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» more
Licensing and pricing modelsPieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
PieCloudDBSiteWhereSphinxSplice Machine
DB-Engines blog posts

The DB-Engines ranking includes now search engines
4 February 2013, Paul Andlinger

show all

Recent citations in the news

SiteWhere: An open platform for connected devices
11 July 2017, Open Source For You

Top Open-Source Tools for IoT Development in 2024
5 September 2024, Analytics Insight

provided by Google News

Switching From Sphinx to MkDocs Documentation — What Did I Gain and Lose?
2 February 2024, Towards Data Science

Voice Recognition Tools Review. Alexa, PocketSphinx, Google API or Project Oxford?
1 March 2024, Netguru

Manticore is a Faster Alternative to Elasticsearch in C++
25 July 2022, hackernoon.com

10 Years of Building the Security Intelligence Graph: A Tech Retrospective
28 April 2020, Recorded Future

How to Build 600+ Links in One Month
4 September 2020, Search Engine Journal

provided by Google News

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Hadoop-based RDBMS Now Available from Splice
12 May 2014, Datanami

How a scrappy young startup plans to turn the massive database market on its ear
21 May 2014, Fortune

The Ultimate Tool for Data Science Feature Factories
23 August 2019, Towards Data Science

Q&A: The Next Generation of the Internet of Things
23 June 2015, TDWI

provided by Google News



Share this page

Featured Products

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Present your product here