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DBMS > Apache IoTDB vs. Badger vs. EDB Postgres vs. FileMaker

System Properties Comparison Apache IoTDB vs. Badger vs. EDB Postgres vs. FileMaker

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonBadger  Xexclude from comparisonEDB Postgres  Xexclude from comparisonFileMaker  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 FlinkAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.FileMaker is a cross-platform RDBMS that includes a GUI frontend.
Primary database modelTime Series DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Websiteiotdb.apache.orggithub.com/­dgraph-io/­badgerwww.enterprisedb.comwww.claris.com/­filemaker
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlgodoc.org/­github.com/­dgraph-io/­badgerwww.enterprisedb.com/­docswww.claris.com/­resources/­documentation
DeveloperApache Software FoundationDGraph LabsEnterpriseDBClaris infoa subsidiary of Apple
Initial release2018201720051983
Current release1.1.0, April 202314, December 202119.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial infoBSD for PostgreSQL-componentscommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC
Server operating systemsAll OS with a Java VM (>= 1.8)BSD
Linux
OS X
Solaris
Windows
Linux
Windows
iOS infoclient part only
Linux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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 infospecific XML-type available, but no XML query functionality.yes infoA http query request can return the data in XML format
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSQL-like query languagenoyes infostandard with numerous extensionsyes infovia plugins
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Filemaker WebDirect
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Go.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
PHP
Server-side scripts infoStored proceduresyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)nonehorizontal partitioning infoby hash, list or rangenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneMulti-source replicationSource-replica replication, warm standby infosince Version 14
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
noneImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory services

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More resources
Apache IoTDBBadgerEDB PostgresFileMaker
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