DB-EnginesExtremeDB: the first and only COTS deterministic embedded database management system for mission- and safety-critical hard real-time applicationsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Ignite vs. InfinityDB vs. Spark SQL

System Properties Comparison Ignite vs. InfinityDB vs. Spark SQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonInfinityDB  Xexclude from comparisonSpark SQL  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.A Java embedded Key-Value Store which extends the Java Map interfaceSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value store
Relational DBMS
Key-value storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.41
Rank#69  Overall
#9  Key-value stores
#38  Relational DBMS
Score0.03
Rank#338  Overall
#52  Key-value stores
Score22.94
Rank#34  Overall
#20  Relational DBMS
Websiteignite.apache.orgboilerbay.comspark.apache.org/­sql
Technical documentationapacheignite.readme.io/­docsboilerbay.com/­infinitydb/­manualspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperApache Software FoundationBoiler Bay Inc.Apache Software Foundation
Initial release201520022014
Current releaseApache Ignite 2.64.03.1.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
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++, Java, .NetJavaScala
Server operating systemsLinux
OS X
Solaris
Windows
All OS with a Java VMLinux
OS X
Windows
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.yesnono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoSQL-like DML and DDL statements
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
JavaJava
Python
R
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)nono
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)nonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 controlSecurity Hooks for custom implementationsnono

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
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
IgniteInfinityDBSpark SQL
Recent citations in the news

GridGain Expands Ignite Summit, Adds Pre-conference Day
5 October 2021, GlobeNewswire

Break point: Apache Ignite, DKP, WebAssembly PaaS, JupyterLab, and Google Cloud Deploy • DEVCLASS
24 September 2021, DevClass

First Apache Ignite Summit Energizes Global Audience
10 June 2021, GlobeNewswire

GridGain Opens Registration, Announces Call for Papers for Ignite Summit
31 August 2021, GlobeNewswire

SD Times news digest: Elastic announces integration with Google Cloud Dataflow, InstallAware X14 for Windows 11, Testim Pro free for startups under 20 employees
27 September 2021, SDTimes.com

provided by Google News

What's the Difference Between SQL, NoSQL, and NewSQL?
28 July 2016, Electronic Design

provided by Google News

Online workshop: Scalable data science with Python and Spark
12 October 2021, Market Research Telecast

Here is Everything You Need to Know About Big Data Tester
12 October 2021, Analytics Insight

Best Data Warehouse Tools for Managing Your Data | ESF
24 September 2021, Enterprise Storage Forum

Analytics Chip Startup Speedata Emerges from Stealth
30 September 2021, Datanami

Top Data Engineering Bootcamps to Attend in 2021
10 October 2021, Analytics Insight

provided by Google News

Job opportunities

Java Apache Camel Developer - C79099 5.4 Charlotte, NC
CapB InfoteK, Charlotte, NC

Senior Engineer
Amex, Phoenix, AZ

Director, Inside Sales
GridGain, Foster City, CA

Application Software Engineer and Developer
LOCKHEED MARTIN CORPORATION, King of Prussia, PA

23.Software Developer
Executive Software Guild (ESG), Remote

Data Analyst
LT Technology Services, Spring, TX

Sr. Data Scientist (REMOTE)
FedEx Services, Tennessee

Business Analyst
Optimal Technologies, Lawrenceville, GA

Data Analyst
Lenovo, Morrisville, NC

Data Scientist (US Remote)
SAMBA TV, United States

jobs by Indeed



Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

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..

Neo4j logo

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

Vertica logo

The fastest unified analytical warehouse at extreme scale with in-database machine learning. Try Vertica for free with no time limit.

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Present your product here