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DBMS > Apache Impala vs. FatDB vs. Microsoft Azure Table Storage vs. Typesense vs. Yaacomo

System Properties Comparison Apache Impala vs. FatDB vs. Microsoft Azure Table Storage vs. Typesense vs. Yaacomo

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTypesense  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
DescriptionAnalytic DBMS for HadoopA .NET NoSQL DBMS that can integrate with and extend SQL Server.A Wide Column Store for rapid development using massive semi-structured datasetsA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivityOpenCL 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
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.76
Rank#219  Overall
#14  Search engines
Websiteimpala.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tablestypesense.orgyaacomo.com
Technical documentationimpala.apache.org/­impala-docs.htmltypesense.org/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaFatCloudMicrosoftQ2WEB GmbH
Initial release20132012201220152009
Current release4.1.0, June 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialcommercialOpen Source infoGPL V3commercial
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 languageC++C#C++
Server operating systemsLinuxWindowshostedLinuxAndroid
Linux
Windows
Data schemeyesschema-freeschema-freeschema-free infopre-defined schema optionalyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno infoVia inetgration in SQL Servernonoyes
APIs and other access methodsJDBC
ODBC
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIRESTful HTTP APIJDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC#.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infovia applicationsnono
Triggersnoyes infovia applicationsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic lockingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosno infoCan implement custom security layer via applicationsAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
Apache ImpalaFatDBMicrosoft Azure Table StorageTypesenseYaacomo
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