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DBMS > Apache Pinot vs. FatDB vs. Microsoft Azure Table Storage vs. Sphinx vs. Yaacomo

System Properties Comparison Apache Pinot vs. FatDB vs. Microsoft Azure Table Storage vs. Sphinx vs. Yaacomo

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSphinx  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA .NET NoSQL DBMS that can integrate with and extend SQL Server.A Wide Column Store for rapid development using massive semi-structured datasetsOpen source search engine for searching in data from different sources, e.g. relational databasesOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSDocument store
Key-value store
Wide column storeSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score3.55
Rank#80  Overall
#6  Wide column stores
Score5.97
Rank#56  Overall
#5  Search engines
Websitepinot.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablessphinxsearch.comyaacomo.com
Technical documentationdocs.pinot.apache.orgsphinxsearch.com/­docs
DeveloperApache Software Foundation and contributorsFatCloudMicrosoftSphinx Technologies Inc.Q2WEB GmbH
Initial release20152012201220012009
Current release1.0.0, September 20233.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#C++
Server operating systemsAll OS with a Java JDK11 or higherWindowshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Android
Linux
Windows
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesyesnoyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageno infoVia inetgration in SQL ServernoSQL-like query language (SphinxQL)yes
APIs and other access methodsJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIProprietary protocolJDBC
ODBC
Supported programming languagesGo
Java
Python
C#.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes infovia applicationsnono
Triggersyes infovia applicationsnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanooptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 controlno infoCan implement custom security layer via applicationsAccess rights based on private key authentication or shared access signaturesnofine grained access rights according to SQL-standard

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More resources
Apache PinotFatDBMicrosoft Azure Table StorageSphinxYaacomo
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