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DBMS > Apache Druid vs. FileMaker vs. Microsoft Access vs. RocksDB vs. TDengine

System Properties Comparison Apache Druid vs. FileMaker vs. Microsoft Access vs. RocksDB vs. TDengine

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFileMaker  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRocksDB  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFileMaker is a cross-platform RDBMS that includes a GUI frontend.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Embeddable persistent key-value store optimized for fast storage (flash and RAM)Time Series DBMS and big data platform
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitedruid.apache.orgwww.claris.com/­filemakerwww.microsoft.com/­en-us/­microsoft-365/­accessrocksdb.orggithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.claris.com/­resources/­documentationdeveloper.microsoft.com/­en-us/­accessgithub.com/­facebook/­rocksdb/­wikidocs.tdengine.com
DeveloperApache Software Foundation and contributorsClaris infoa subsidiary of AppleMicrosoftFacebook, Inc.TDEngine, previously Taos Data
Initial release20121983199220132019
Current release29.0.1, April 202419.4.1, November 20211902 (16.0.11328.20222), March 20199.2.1, May 20243.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infoBundled with Microsoft OfficeOpen Source infoBSDOpen Source infoAGPL V3, also commercial editions available
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 languageJavaC++C++C
Server operating systemsLinux
OS X
Unix
iOS infoclient part only
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinuxLinux
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 infoA http query request can return the data in XML formatnono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLSQL for queryingyes infovia pluginsyes infobut not compliant to any SQL standardnoStandard SQL with extensions for time-series applications
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Filemaker WebDirect
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
C++ API
Java API
JDBC
RESTful HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
PHPC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
Perl
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresnoyesyes infosince Access 2010 using the ACE-enginenono
Triggersnoyesyes infosince Access 2010 using the ACE-engineyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication, warm standby infosince Version 14noneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemsimple rights management via user accounts and connection to external directory servicesno infoa simple user-level security was built in till version Access 2003noyes
More information provided by the system vendor
Apache DruidFileMakerMicrosoft AccessRocksDBTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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