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DBMS > Apache IoTDB vs. Coveo vs. Derby vs. Graph Engine vs. HBase

System Properties Comparison Apache IoTDB vs. Coveo vs. Derby vs. Graph Engine vs. HBase

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonCoveo  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonHBase  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 FlinkAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelTime Series DBMSSearch engineRelational DBMSGraph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score2.28
Rank#114  Overall
#11  Search engines
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Websiteiotdb.apache.orgwww.coveo.comdb.apache.org/­derbywww.graphengine.iohbase.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.coveo.comdb.apache.org/­derby/­manuals/­index.htmlwww.graphengine.io/­docs/­manualhbase.apache.org/­book.html
DeveloperApache Software FoundationCoveoApache Software FoundationMicrosoftApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20182012199720102008
Current release1.1.0, April 202310.17.1.0, November 20232.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2Open Source infoMIT LicenseOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava.NET and CJava
Server operating systemsAll OS with a Java VM (>= 1.8)hostedAll OS with a Java VM.NETLinux
Unix
Windows infousing Cygwin
Data schemeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesyesoptions to bring your own types, AVRO
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.nonoyesnono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languagenoyesnono
APIs and other access methodsJDBC
Native API
RESTful HTTP APIJDBCRESTful HTTP APIJava API
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C#
Java
JavaScript
Python
JavaC#
C++
F#
Visual Basic
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresyesnoJava Stored Proceduresyesyes infoCoprocessors in Java
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)yesnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDnoSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlyesgranular access controls, API key management, content filtersfine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Apache IoTDBCoveoDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGraph Engine infoformer name: TrinityHBase
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