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DBMS > FatDB vs. Microsoft Azure AI Search vs. Spark SQL vs. WakandaDB vs. XTDB

System Properties Comparison FatDB vs. Microsoft Azure AI Search vs. Spark SQL vs. WakandaDB vs. XTDB

Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonSpark SQL  Xexclude from comparisonWakandaDB  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.Search-as-a-service for web and mobile app developmentSpark SQL is a component on top of 'Spark Core' for structured data processingWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access dataA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store
Key-value store
Search engineRelational DBMSObject oriented DBMSDocument store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.52
Rank#59  Overall
#6  Search engines
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websiteazure.microsoft.com/­en-us/­services/­searchspark.apache.org/­sqlwakanda.github.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationlearn.microsoft.com/­en-us/­azure/­searchspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwakanda.github.io/­docwww.xtdb.com/­docs
DeveloperFatCloudMicrosoftApache Software FoundationWakanda SASJuxt Ltd.
Initial release20122015201420122019
Current releaseV13.5.0 ( 2.13), September 20232.7.0 (April 29, 2019), April 20191.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#ScalaC++, JavaScriptClojure
Server operating systemsWindowshostedLinux
OS X
Windows
Linux
OS X
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, extensible-data-notation format
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLno infoVia inetgration in SQL ServernoSQL-like DML and DDL statementsnolimited SQL, making use of Apache Calcite
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
RESTful HTTP APIJDBC
ODBC
RESTful HTTP APIHTTP REST
JDBC
Supported programming languagesC#C#
Java
JavaScript
Python
Java
Python
R
Scala
JavaScriptClojure
Java
Server-side scripts infoStored proceduresyes infovia applicationsnonoyesno
Triggersyes infovia applicationsnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceyes, utilizing Spark Corenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud servicenonenoneyes, each node contains all data
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 integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlno infoCan implement custom security layer via applicationsyes infousing Azure authenticationnoyes

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More resources
FatDBMicrosoft Azure AI SearchSpark SQLWakandaDBXTDB infoformerly named Crux
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