DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > eXtremeDB vs. Graphite vs. Splice Machine

System Properties Comparison eXtremeDB vs. Graphite vs. Splice Machine

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameeXtremeDB  Xexclude from comparisonGraphite  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionNatively in-memory DBMS with options for persistency, high-availability and clusteringData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.90
Rank#194  Overall
#90  Relational DBMS
#17  Time Series DBMS
Score4.25
Rank#63  Overall
#4  Time Series DBMS
Score0.54
Rank#243  Overall
#114  Relational DBMS
Websitewww.mcobject.comgithub.com/­graphite-project/­graphite-websplicemachine.com
Technical documentationwww.mcobject.com/­docs/­extremedb.htmgraphite.readthedocs.iosplicemachine.com/­how-it-works
DeveloperMcObjectChris DavisSplice Machine
Initial release200120062014
Current release8.2, 20213.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
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++PythonJava
Server operating systemsAIX
HP-UX
Linux
macOS
Solaris
Windows
Linux
Unix
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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 availableno
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infowith the option: eXtremeSQLnoyes
APIs and other access methods.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
HTTP API
Sockets
JDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyesnoyes infoJava
Triggersyes infoby defining eventsnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning / shardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
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
noneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes infolockingyes, multi-version concurrency control (MVCC)
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.yesyes
User concepts infoAccess controlnoAccess 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
eXtremeDBGraphiteSplice Machine
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

Recent citations in the news

McObject and Lynx Software Technologies Team Up for the
21 October 2021, GlobeNewswire

CORTEX Biophysik Leverages McObject’s eXtremeDB to Boost Cardiovascular Diagnostics for Athletes and Clinicians
11 April 2025, Embedded Computing Design

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

McObject
17 November 2021, Electronic Design

Latest embedded DBMS supports asymmetric multiprocessing systems
24 May 2023, embedded.com

provided by Google News

Try out the Graphite monitoring tool for time-series data
29 October 2019, TechTarget

Getting Started with Monitoring using Graphite
23 January 2015, infoq.com

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

Most Prominent Time Series Databases For Data Scientists
20 January 2021, Analytics India Magazine

InfluxData Announces New Customers and Accelerated Momentum in Industrial Data and Internet of Things
15 February 2022, Business Wire

provided by Google News

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, theregister.com

Splice Machine SQL Database Scales On Hadoop
22 September 2023, InformationWeek

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine Learning
19 January 2021, PR Newswire

Hadoop powers big data digital marketing platform
31 March 2015, cio.com

Trend-Setting Products in Data and Information Management for 2017
7 December 2016, Database Trends and Applications

provided by Google News



Share this page

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

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

RaimaDB logo

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

Neo4j logo

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

Present your product here