DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache IoTDB vs. Microsoft Access vs. Rockset vs. WakandaDB

System Properties Comparison Apache IoTDB vs. Microsoft Access vs. Rockset vs. WakandaDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonRockset  Xexclude from comparisonWakandaDB  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 FlinkMicrosoft 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.)A scalable, reliable search and analytics service in the cloud, built on RocksDBWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelTime Series DBMSRelational DBMSDocument storeObject oriented DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websiteiotdb.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­accessrockset.comwakanda.github.io
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldeveloper.microsoft.com/­en-us/­accessdocs.rockset.comwakanda.github.io/­doc
DeveloperApache Software FoundationMicrosoftRocksetWakanda SAS
Initial release2018199220192012
Current release1.1.0, April 20231902 (16.0.11328.20222), March 20192.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoBundled with Microsoft OfficecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C++, JavaScript
Server operating systemsAll OS with a Java VM (>= 1.8)Windows infoNot a real database server, but making use of DLLshostedLinux
OS X
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic typingyes
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.nono infoingestion from XML files supportedno
Secondary indexesyesyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageyes infobut not compliant to any SQL standardRead-only SQL queries, including JOINsno
APIs and other access methodsJDBC
Native API
ADO.NET
DAO
ODBC
OLE DB
HTTP RESTRESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Go
Java
JavaScript (Node.js)
Python
JavaScript
Server-side scripts infoStored proceduresyesyes infosince Access 2010 using the ACE-enginenoyes
Triggersyesyes infosince Access 2010 using the ACE-enginenoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneyesnone
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
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infobut no files for transaction loggingnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.yesno
User concepts infoAccess controlyesno infoa simple user-level security was built in till version Access 2003Access rights for users and organizations can be defined via Rockset consoleyes

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache IoTDBMicrosoft AccessRocksetWakandaDB
DB-Engines blog posts

MS Access drops in DB-Engines Ranking
2 May 2013, Paul Andlinger

Microsoft SQL Server regained rank 2 in the DB-Engines popularity ranking
3 December 2012, Matthias Gelbmann

New DB-Engines Ranking shows the popularity of database management systems
3 October 2012, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

TsFile: A Standard Format for IoT Time Series Data
27 February 2024, The New Stack

Linux 6.5 With AMD P-State EPP Default Brings Performance & Power Efficiency Benefits For Ryzen Servers
21 September 2023, Phoronix

AMD EPYC 8324P / 8324PN Siena 32-Core Siena Linux Server Performance Review
10 October 2023, Phoronix

Apache Promotes IoT Database Project
25 September 2020, Datanami

IoTDB Provides Data Management for Industrial Edge IT
15 October 2020, The New Stack

provided by Google News

Abusing Microsoft Access "Linked Table" Feature to Perform NTLM Forced Authentication Attacks
9 November 2023, Check Point Research

Hackers Exploit Microsoft Access Feature to Steal Windows User’s NTLM Tokens
11 November 2023, CybersecurityNews

MS access program to increase awareness and independence of those living with MS and disability
10 July 2023, Nebraska Medicine

After installing Navisworks, Office 2016 (32-bit) applications stopped launching
8 October 2023, Autodesk Redshift

How to Connect MS Access to MySQL via ODBC Driver
7 September 2023, TechiExpert.com

provided by Google News

Rockset Announces 2024 Index Conference, Industry Event for Engineers Building Search, Analytics, and AI ...
18 April 2024, Datanami

Rockset targets cost control with latest database update
31 January 2024, TechTarget

Honing business data with AI real-time analytics
14 March 2024, SiliconANGLE News

Rockset Releases New Instance Class, Gains Momentum as the Search and Analytics Database Built for the Cloud
31 January 2024, GlobeNewswire

Real-time analytics database provider aims to cut compute costs by 30%
31 January 2024, SDxCentral

provided by Google News



Share this page

Featured Products

SingleStore logo

Database for your real-time AI and Analytics Apps.
Try it today.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Present your product here