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DBMS > HarperDB vs. IBM Db2 Event Store vs. Microsoft Azure AI Search vs. XTDB

System Properties Comparison HarperDB vs. IBM Db2 Event Store vs. Microsoft Azure AI Search vs. XTDB

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Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Distributed Event Store optimized for Internet of Things use casesSearch-as-a-service for web and mobile app developmentA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeEvent Store
Time Series DBMS
Search engineDocument store
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#248  Overall
#38  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.harperdb.iowww.ibm.com/­products/­db2-event-storeazure.microsoft.com/­en-us/­services/­searchgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.harperdb.io/­docswww.ibm.com/­docs/­en/­db2-event-storelearn.microsoft.com/­en-us/­azure/­searchwww.xtdb.com/­docs
DeveloperHarperDBIBMMicrosoftJuxt Ltd.
Initial release2017201720152019
Current release3.1, August 20212.0V11.19, September 2021
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infofree developer edition availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsC and C++Clojure
Server operating systemsLinux
OS X
Linux infoLinux, macOS, Windows for the developer additionhostedAll OS with a Java 8 (and higher) VM
Linux
Data schemedynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesyes, 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 indexesyesnoyesyes
SQL infoSupport of SQLSQL-like data manipulation statementsyes infothrough the embedded Spark runtimenolimited SQL, making use of Apache Calcite
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP REST
JDBC
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C#
Java
JavaScript
Python
Clojure
Java
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1yesnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusterShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definedActive-active shard replicationyes infoImplicit feature of the cloud serviceyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyes, using LMDBYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes, 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.yesyesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardyes infousing Azure authentication

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More resources
HarperDBIBM Db2 Event StoreMicrosoft Azure AI SearchXTDB infoformerly named Crux
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