DB-EnginesExtremeDB: mitigate connectivity issues in a DBMSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > eXtremeDB vs. GeoSpock vs. Graphite vs. Microsoft Access vs. Postgres-XL

System Properties Comparison eXtremeDB vs. GeoSpock vs. Graphite vs. Microsoft Access vs. Postgres-XL

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGraphite  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgres-XL  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringSpatial and temporal data processing engine for extreme data scaleData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperMicrosoft 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 features
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.mcobject.comgeospock.comgithub.com/­graphite-project/­graphite-webwww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgres-xl.org
Technical documentationwww.mcobject.com/­docs/­extremedb.htmgraphite.readthedocs.iodeveloper.microsoft.com/­en-us/­accesswww.postgres-xl.org/­documentation
DeveloperMcObjectGeoSpockChris DavisMicrosoft
Initial release2001200619922014 infosince 2012, originally named StormDB
Current release8.2, 20212.0, September 20191902 (16.0.11328.20222), March 201910 R1, October 2018
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java, JavascriptPythonC++C
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
hostedLinux
Unix
Windows infoNot a real database server, but making use of DLLsLinux
macOS
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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.no infosupport of XML interfaces availablenonoyes infoXML type, but no XML query functionality
Secondary indexesyestemporal, categoricalnoyesyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLANSI SQL for query only (using Presto)noyes infobut not compliant to any SQL standardyes infodistributed, parallel query execution
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBCHTTP API
Sockets
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
JavaScript (Node.js)
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
Server-side scripts infoStored proceduresyesnonoyes infosince Access 2010 using the ACE-engineuser defined functions
Triggersyes infoby defining eventsnonoyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingAutomatic shardingnonenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infobut no files for transaction loggingACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users can be defined per tablenono infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard
More information provided by the system vendor
eXtremeDBGeoSpockGraphiteMicrosoft AccessPostgres-XL
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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
eXtremeDBGeoSpockGraphiteMicrosoft AccessPostgres-XL
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

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

McObject Announces the Release of eXtremeDB/rt 1.2
23 May 2023, Embedded Computing Design

McObject Offers eXtremeDB 8.3 for Incremental Improvements and New Platforms
11 November 2022, Automation.com

With eXtremeDB Database, Spreadbrokers Targets Real-Time Trading
27 March 2012, GlobeNewswire

Latest embedded DBMS supports asymmetric multiprocessing systems
24 May 2023, Embedded

Beta tests for real time in-memory embedded database ...
4 May 2021, eeNews Europe

provided by Google News

How GeoSpock is supercharging geospatial analytics
23 February 2021, ComputerWeekly.com

Imagining an 'Everything Connected' World With Geospock | AWS Startups Blog
20 June 2019, AWS Blog

GeoSpock launches Spatial Big Data Platform 2.0
4 September 2019, VanillaPlus

nChain Leads Investment Round in Extreme-scale Data Firm GeoSpock
2 October 2020, AlexaBlockchain

Smart Cities, Autonomous Vehicles, Artificial General Intelligence Robotics: Q&A with Steve Marsh, GeoSpock
16 May 2018, ExchangeWire

provided by Google News

Grafana Labs Announces Mimir Time Series Database
1 April 2022, Datanami

The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
10 December 2018, Uber

InfluxDB: From Open Source Time Series Database to Millions in Revenue
3 March 2021, hackernoon.com

How Grafana made observability accessible
12 June 2023, InfoWorld

Top 10 open-source application monitoring tools
13 June 2017, TechGenix

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

ACCDE File (What It Is and How to Open One)
27 July 2023, Lifewire

provided by Google News



Share this page

Featured Products

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

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

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