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DBMS > Ignite vs. Snowflake vs. Splice Machine

System Properties Comparison Ignite vs. Snowflake vs. Splice Machine

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonSnowflake  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Cloud-based data warehousing service for structured and semi-structured dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.06
Rank#61  Overall
#7  Key-value stores
#35  Relational DBMS
Score103.12
Rank#13  Overall
#9  Relational DBMS
Score0.77
Rank#200  Overall
#95  Relational DBMS
Websiteignite.apache.orgwww.snowflake.comsplicemachine.com
Technical documentationapacheignite.readme.io/­docsdocs.snowflake.net/­manuals/­index.htmldoc.splicemachine.com
DeveloperApache Software FoundationSnowflake Computing Inc.Splice Machine
Initial release201520142014
Current releaseApache Ignite 2.63.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .NetJava
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
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.yesyes
Secondary indexesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
CLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)user defined functionsyes infoJava
Triggersyes (cache interceptors and events)no infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, 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.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
IgniteSnowflakeSplice Machine
News

How to Break Data Silos to Drive Enterprise-Wide AI
11 June 2021

Point-in-Time Correctness in Machine Learning
1 June 2021

The Compliance Nightmare Lurking in Your Data Science Team
6 May 2021

Whose Job Is It Anyway?
23 April 2021

How Optimizing MLOps Can Revolutionize Enterprise AI
15 April 2021

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More resources
IgniteSnowflakeSplice Machine
DB-Engines blog posts

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

show all

Recent citations in the news

GridGain, Apache Ignite founder talks in-memory databases
11 August 2022, TechTarget

GridGain Appoints Eoin O'Connor as New President and CEO
2 August 2022, GlobeNewswire

GridGain Announces Virtual Apache Ignite Summit 2022, Opens Call for Papers
7 February 2022, GlobeNewswire

Apache Ignite Adds Change Data Capture
20 January 2022, iProgrammer

Apache Ignite Changes SQL Engine
5 May 2022, iProgrammer

provided by Google News

Cboe Partners With Snowflake to Move Corporate Data to Cloud
28 July 2022, Bloomberg

Review: Snowflake aces Python machine learning
3 August 2022, InfoWorld

Snowflake and Databricks Are Building Streaming Data Pipelines
5 August 2022, Business Insider

Data chess game: Databricks, MongoDB and Snowflake make moves for the enterprise, part 2
26 July 2022, VentureBeat

Should You Buy Snowflake Inc (SNOW) Stock After it Has Fallen 6.39% in a Week?
17 August 2022, InvestorsObserver

provided by Google News

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Splice Machine 3.0 integrates machine learning capabilities, database
6 March 2020, TechTarget

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

Splice Machine 3.1 enhances support for real-time AI deployments
9 March 2021, VentureBeat

Unified MLOps: Feature Stores and Model Deployment
13 May 2022, InfoQ.com

provided by Google News

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