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DBMS > Immudb vs. Microsoft Azure AI Search vs. NSDb vs. Spark SQL vs. TerarkDB

System Properties Comparison Immudb vs. Microsoft Azure AI Search vs. NSDb vs. Spark SQL vs. TerarkDB

Editorial information provided by DB-Engines
NameImmudb  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonNSDb  Xexclude from comparisonSpark SQL  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Search-as-a-service for web and mobile app developmentScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesSpark SQL is a component on top of 'Spark Core' for structured data processingA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value storeSearch engineTime Series DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#295  Overall
#42  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitegithub.com/­codenotary/­immudb
immudb.io
azure.microsoft.com/­en-us/­services/­searchnsdb.iospark.apache.org/­sqlgithub.com/­bytedance/­terarkdb
Technical documentationdocs.immudb.iolearn.microsoft.com/­en-us/­azure/­searchnsdb.io/­Architecturespark.apache.org/­docs/­latest/­sql-programming-guide.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperCodenotaryMicrosoftApache Software FoundationByteDance, originally Terark
Initial release20202015201720142016
Current release1.2.3, April 2022V13.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ScalaScalaC++
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
hostedLinux
macOS
Linux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes: int, bigint, decimal, stringyesno
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.nonononono
Secondary indexesyesyesall fields are automatically indexednono
SQL infoSupport of SQLSQL-like syntaxnoSQL-like query languageSQL-like DML and DDL statementsno
APIs and other access methodsgRPC protocol
PostgreSQL wire protocol
RESTful HTTP APIgRPC
HTTP REST
WebSocket
JDBC
ODBC
C++ API
Java API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
Java
Scala
Java
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnonononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceShardingyes, utilizing Spark Corenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlyes infousing Azure authenticationnono

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More resources
ImmudbMicrosoft Azure AI SearchNSDbSpark SQLTerarkDB
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