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 > Badger vs. HEAVY.AI vs. Microsoft Access vs. Postgres-XL vs. Sadas Engine

System Properties Comparison Badger vs. HEAVY.AI vs. Microsoft Access vs. Postgres-XL vs. Sadas Engine

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSadas Engine  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMicrosoft 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.)Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environments
Primary database modelKey-value storeRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­heavyai/­heavydb
www.heavy.ai
www.microsoft.com/­en-us/­microsoft-365/­accesswww.postgres-xl.orgwww.sadasengine.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.heavy.aideveloper.microsoft.com/­en-us/­accesswww.postgres-xl.org/­documentationwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentation
DeveloperDGraph LabsHEAVY.AI, Inc.MicrosoftSADAS s.r.l.
Initial release2017201619922014 infosince 2012, originally named StormDB2006
Current release5.10, January 20221902 (16.0.11328.20222), March 201910 R1, October 20188.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoMozilla public licensecommercial infofree trial version 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 languageGoC++ and CUDAC++CC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxWindows infoNot a real database server, but making use of DLLsLinux
macOS
AIX
Linux
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infoXML type, but no XML query functionalityno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnoyesyes infobut not compliant to any SQL standardyes infodistributed, parallel query executionyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Proprietary protocol
Supported programming languagesGoAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes infosince Access 2010 using the ACE-engineuser defined functionsno
Triggersnonoyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinnonehorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infobut no files for transaction loggingACID infoMVCC
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.noyesnoyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlnofine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standard

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
BadgerHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft AccessPostgres-XLSadas Engine
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

Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, businesswire.com

HEAVY.AI Partners with Bain, Maxar, and Nvidia to Provide Digital Twins for Telecom Networks
16 February 2023, Datanami

Making the most of geospatial intelligence
14 April 2023, InfoWorld

The insideBIGDATA IMPACT 50 List for Q4 2023
11 October 2023, insideBIGDATA

provided by Google News

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

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

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

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

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

provided by Google News



Share this page

Featured Products

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