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DBMS > Apache IoTDB vs. EventStoreDB vs. Manticore Search vs. Microsoft Azure Table Storage

System Properties Comparison Apache IoTDB vs. EventStoreDB vs. Manticore Search vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEventStoreDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkIndustrial-strength, open-source database solution built from the ground up for event sourcing.Multi-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelTime Series DBMSEvent StoreSearch engineWide column store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.19
Rank#173  Overall
#1  Event Stores
Score0.29
Rank#302  Overall
#21  Search engines
Score4.04
Rank#77  Overall
#6  Wide column stores
Websiteiotdb.apache.orgwww.eventstore.commanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldevelopers.eventstore.commanual.manticoresearch.com
DeveloperApache Software FoundationEvent Store LimitedManticore SoftwareMicrosoft
Initial release2018201220172012
Current release1.1.0, April 202321.2, February 20216.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Source infoGPL version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsAll OS with a Java VM (>= 1.8)Linux
Windows
FreeBSD
Linux
macOS
Windows
hosted
Data schemeyesFixed schemaschema-free
Typing infopredefined data types such as float or dateyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.noCan index from XMLno
Secondary indexesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLSQL-like query languageSQL-like query languageno
APIs and other access methodsJDBC
Native API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSynchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesnoAccess rights based on private key authentication or shared access signatures

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More resources
Apache IoTDBEventStoreDBManticore SearchMicrosoft Azure Table Storage
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