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DBMS > Apache IoTDB vs. H2GIS vs. Hazelcast vs. Interbase vs. LevelDB

System Properties Comparison Apache IoTDB vs. H2GIS vs. Hazelcast vs. Interbase vs. LevelDB

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonH2GIS  Xexclude from comparisonHazelcast  Xexclude from comparisonInterbase  Xexclude from comparisonLevelDB  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 FlinkSpatial extension of H2A widely adopted in-memory data gridLight-weight proven RDBMS infooriginally from BorlandEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelTime Series DBMSSpatial DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsRelational DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Websiteiotdb.apache.orgwww.h2gis.orghazelcast.comwww.embarcadero.com/­products/­interbasegithub.com/­google/­leveldb
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.h2gis.org/­docs/­homehazelcast.org/­imdg/­docsdocs.embarcadero.com/­products/­interbasegithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperApache Software FoundationCNRSHazelcastEmbarcaderoGoogle
Initial release20182013200819842011
Current release1.1.0, April 20235.3.6, November 2023InterBase 2020, December 20191.23, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoLGPL 3.0Open Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJavaCC++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMAndroid
iOS
Linux
OS X
Windows
Illumos
Linux
OS X
Windows
Data schemeyesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyes infothe object must implement a serialization strategyno infoexport as XML data possibleno
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageyesno
APIs and other access methodsJDBC
Native API
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyesyes infobased on H2yes infoEvent Listeners, Executor Servicesyes infoInterbase procedure and trigger languageno
Triggersyesyesyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasyes infobased on H2yes infoReplicated MapInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlyesyes infobased on H2Role-based access controlfine grained access rights according to SQL-standardno

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More resources
Apache IoTDBH2GISHazelcastInterbaseLevelDB
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