DB-EnginesExtremeDB: database for embedded systemsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > eXtremeDB vs. Spark SQL vs. Transbase

System Properties Comparison eXtremeDB vs. Spark SQL vs. Transbase

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.72
Rank#208  Overall
#103  Relational DBMS
#13  Time Series DBMS
Score21.39
Rank#34  Overall
#20  Relational DBMS
Score0.26
Rank#279  Overall
#129  Relational DBMS
Websitewww.mcobject.com/­extremedbfamilyspark.apache.org/­sqlwww.transaction.de/­en/­solutions/­transbase-resource-optimized-high-performance-database
Technical documentationwww.mcobject.com/­docs/­extremedb.htmspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­transbase-inside
DeveloperMcObjectApache Software FoundationTransaction Software GmbH
Initial release200120141987
Current release8.2, November 20203.1.1, March 2021Transbase 8.4, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++ScalaC and C++
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 availablenono
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLSQL-like DML and DDL statementsyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesnoyes
Triggersyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
noneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlnofine grained access rights according to SQL-standard
More information provided by the system vendor
eXtremeDBSpark SQLTransbase
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 28 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
eXtremeDBSpark SQLTransbase
Recent citations in the news

McObject and Logic Partner to Meet Growing Embedded Database Management Needs
23 February 2021, GlobeNewswire

eXtremeDB 8.1 adds features for easier, more sophisticated
19 November 2019, GlobeNewswire

eXtremeDB embedded database system compatible with AdaCore's GNAT Pro Toolset for Ada programming language
9 December 2014, Intelligent Aerospace

IMDSs Bring Off-the-Shelf Database Software to the Electronics Mainstream
22 October 2014, Electronic Design

The 2019 IoT Global Awards shortlist nominees are…
25 September 2019, VanillaPlus

provided by Google News

2015 - Spark Takes the Big Data World by Storm
1 July 2021, Datanami

Beginner's Guide To Machine Learning With Apache Spark
16 July 2021, Analytics India Magazine

Latest big data developments in the realm of data lakehouse
23 July 2021, VentureBeat

Start artificial intelligence for IoT in bite-size pieces
15 July 2021, TechTarget

IBM Expands Access and Value of z Systems Mainframe Data with Apache Spark
31 March 2016, The FINANCIAL

provided by Google News

Job opportunities

WPF Sr. Engineer
LT Technology Services, Santa Clara, CA

Sr. Data Architect (100% REMOTE)
Kairos Technologies, Remote

Data Warehousing/Data Architect with Cassandra( 100% Remote )
Kairos Technologies, Remote

ETL Big Data Architect (100% REMOTE)
Kairos Technologies, Remote

Senior Data Engineer - Scala/Spark/SQL
Hewlett Packard Enterprise, San Jose, CA

Sr. SSIS package/ SQL developers
Intone Networks, Boston, MA

AWS Data Lake Big Data Engineer - Spark SQL, Data Steward, Scala, Terraform, Data Bricks
Nasdaq, Inc., Rockville, MD

Backline Spark TSE
Databricks, Remote

Data Analyst
Lenovo, Morrisville, NC

jobs by Indeed



Share this page

Featured Products

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.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here