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DBMS > Badger vs. EDB Postgres vs. HEAVY.AI vs. Ignite vs. Microsoft Access

System Properties Comparison Badger vs. EDB Postgres vs. HEAVY.AI vs. Ignite vs. Microsoft Access

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonEDB Postgres  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionAn 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.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.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.)
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.enterprisedb.comgithub.com/­heavyai/­heavydb
www.heavy.ai
ignite.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerwww.enterprisedb.com/­docsdocs.heavy.aiapacheignite.readme.io/­docsdeveloper.microsoft.com/­en-us/­access
DeveloperDGraph LabsEnterpriseDBHEAVY.AI, Inc.Apache Software FoundationMicrosoft
Initial release20172005201620151992
Current release14, December 20215.10, January 2022Apache Ignite 2.61902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoBSD for PostgreSQL-componentsOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoCC++ and CUDAC++, Java, .NetC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
LinuxLinux
OS X
Solaris
Windows
Windows infoNot a real database server, but making use of DLLs
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.noyes infospecific XML-type available, but no XML query functionality.noyes
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLnoyes infostandard with numerous extensionsyesANSI-99 for query and DML statements, subset of DDLyes infobut not compliant to any SQL standard
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Thrift
Vega
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
All languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes (compute grid and cache interceptors can be used instead)yes infosince Access 2010 using the ACE-engine
Triggersnoyesnoyes (cache interceptors and events)yes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoby hash, list or rangeSharding infoRound robinShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationMulti-source replicationyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardSecurity Hooks for custom implementationsno infoa simple user-level security was built in till version Access 2003

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More resources
BadgerEDB PostgresHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IgniteMicrosoft Access
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