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DBMS > Hive vs. Microsoft Access vs. NuoDB vs. TDengine vs. WakandaDB

System Properties Comparison Hive vs. Microsoft Access vs. NuoDB vs. TDengine vs. WakandaDB

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNuoDB  Xexclude from comparisonTDengine  Xexclude from comparisonWakandaDB  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopMicrosoft 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.)NuoDB is a webscale distributed database that supports SQL and ACID transactionsTime Series DBMS and big data platformWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMSObject oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Score0.10
Rank#356  Overall
#17  Object oriented DBMS
Websitehive.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswww.3ds.com/­nuodb-distributed-sql-databasegithub.com/­taosdata/­TDengine
tdengine.com
wakanda.github.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedeveloper.microsoft.com/­en-us/­accessdoc.nuodb.comdocs.tdengine.comwakanda.github.io/­doc
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftDassault Systèmes infooriginally NuoDB, Inc.TDEngine, previously Taos DataWakanda SAS
Initial release20121992201320192012
Current release3.1.3, April 20221902 (16.0.11328.20222), March 20193.0, August 20222.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoBundled with Microsoft Officecommercial infolimited edition freeOpen Source infoAGPL V3, also commercial editions availableOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++CC++, JavaScript
Server operating systemsAll OS with a Java VMWindows infoNot a real database server, but making use of DLLshosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infobut not compliant to any SQL standardyesStandard SQL with extensions for time-series applicationsno
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
ODBC
JDBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
JavaScript
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes infosince Access 2010 using the ACE-engineJava, SQLnoyes
Triggersnoyes infosince Access 2010 using the ACE-engineyesyes, via alarm monitoringyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonedata is dynamically stored/cached on the nodes where it is read/writtenShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneyes infoManaged transparently by NuoDByesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingACID infotunable commit protocolACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTemporary tableno
User concepts infoAccess controlAccess rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003Standard SQL roles/ privileges, Administrative Usersyesyes
More information provided by the system vendor
HiveMicrosoft AccessNuoDBTDengineWakandaDB
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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