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DBMS > Apache IoTDB vs. EJDB vs. Hazelcast vs. IBM Db2 Event Store vs. Solr

System Properties Comparison Apache IoTDB vs. EJDB vs. Hazelcast vs. IBM Db2 Event Store vs. Solr

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEJDB  Xexclude from comparisonHazelcast  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSolr  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 FlinkEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A widely adopted in-memory data gridDistributed Event Store optimized for Internet of Things use casesA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelTime Series DBMSDocument storeKey-value storeEvent Store
Time Series DBMS
Search engine
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteiotdb.apache.orggithub.com/­Softmotions/­ejdbhazelcast.comwww.ibm.com/­products/­db2-event-storesolr.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhazelcast.org/­imdg/­docswww.ibm.com/­docs/­en/­db2-event-storesolr.apache.org/­resources.html
DeveloperApache Software FoundationSoftmotionsHazelcastIBMApache Software Foundation
Initial release20182012200820172006
Current release1.1.0, April 20235.3.6, November 20232.09.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGPLv2Open Source infoApache Version 2; commercial licenses availablecommercial infofree developer edition availableOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJavaC and C++Java
Server operating systemsAll OS with a Java VM (>= 1.8)server-lessAll OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeschema-freeyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes infosupports customizable data types and automatic typing
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.noyes infothe object must implement a serialization strategynoyes
Secondary indexesyesnoyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageyes infothrough the embedded Spark runtimeSolr Parallel SQL Interface
APIs and other access methodsJDBC
Native API
in-process shared libraryJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesnoyes infoEvent Listeners, Executor ServicesyesJava plugins
Triggersyesnoyes infoEventsnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneyes infoReplicated MapActive-active shard replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoone or two-phase-commit; repeatable reads; read commitednooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write LockingyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlyesnoRole-based access controlfine grained access rights according to SQL-standardyes

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More resources
Apache IoTDBEJDBHazelcastIBM Db2 Event StoreSolr
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