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DBMS > FoundationDB vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Sqrrl

System Properties Comparison FoundationDB vs. Hazelcast vs. Microsoft Azure Data Explorer vs. Sqrrl

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Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSqrrl  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.A widely adopted in-memory data gridFully managed big data interactive analytics platformAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Key-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#161  Overall
#23  Document stores
#28  Key-value stores
#78  Relational DBMS
Score8.36
Rank#45  Overall
#5  Key-value stores
Score2.33
Rank#104  Overall
#50  Relational DBMS
Websitewww.foundationdb.orghazelcast.comazure.microsoft.com/­services/­data-explorersqrrl.com
Technical documentationapple.github.io/­foundationdbhazelcast.org/­documentationdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperFoundationDBHazelcastMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release2013200820192012
Current release6.2.11, November 20193.12.2, August 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedLinux
Data schemeschema-free infosome layers support schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateno infosome layers support typingyesyesyes
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.yes infothe object must implement a serialization strategyyes
Secondary indexesnoyesyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL-like query languageKusto Query Language (KQL), SQL subsetno
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Java
JavaScript (Node.js)
PowerShell
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresin SQL-layer onlyyes infoEvent Listeners, Executor ServicesYes. Languages: KQL, Python, Rno
Triggersnoyes infoEventsTable-level update policy rules can be used to automatically run a query and ingest its results when data is ingested into another table.no
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoReplicated Mapyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual Consistency
Immediate Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityin SQL-layer onlynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitednoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoRole-based access controlAzure Active Directory AuthenticationCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
FoundationDBHazelcastMicrosoft Azure Data ExplorerSqrrl
Specific characteristicsHazelcast is an in-memory computing platform that runs applications with extremely...
» more
Competitive advantagesHazelcast has an optimized, multi-threaded architecture that enables the highest...
» more
Typical application scenariosHazelcast powers many types of large-scale, data processing applications. A sample...
» more
Key customersHazelcast customers include 50 of the world’s largest financial services companies,...
» more
Licensing and pricing modelsHazelcast provides both open source and commercial software. The open source offering...
» more

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More resources
FoundationDBHazelcastMicrosoft Azure Data ExplorerSqrrl
Recent citations in the news

Apple’s FoundationDB open sources the database layer behind CloudKit
14 January 2019, 9to5Mac

FoundationDB's Record Layer Supports Relational Database Semantics, Schema Management and Indexing
10 February 2019, InfoQ.com

FoundationDB, a very interesting NoSQL database owned by Apple, is now an open-source project
19 April 2018, GeekWire

FoundationDB Goes Open Source
23 April 2018, Datanami

Apple Acquires Durable Database Company FoundationDB
24 March 2015, TechCrunch

provided by Google News

Open Source Hazelcast Data Grid Optimized on Intel Optane for AI, IoT Workloads
20 November 2019, ADT Magazine

Hazelcast raises $21 million for high-speed, low-latency memory
18 June 2019, VentureBeat

Hazelcast Enhances Open Source Ecosystems with In-Memory Speed
30 September 2019, PRNewswire

Hazelcast to Accelerate High-Performance Computing Solutions in Collaboration with Intel
24 September 2019, PRNewswire

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24 December 2019, Database Trends and Applications

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How to share data in place from Azure Data Explorer - Microsoft
20 December 2019, Channel 9

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How to use Azure Data Explorer for big data analysis
12 February 2019, InfoWorld

Fastly, Microsoft partner on real-time analytics with Azure Data Explorer
29 January 2019, ZDNet

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4 December 2019, PRNewswire

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Fin-Tech Start-up Sqrrl Is On 'Mission 200' For The Betterment Of Underprivileged Children
31 December 2019, IndianWeb2.com

User and Entity Behavior Analytics Market Business Scenario 2020 | SWOT Analysis by Major Players- Dtex Systems, Sqrrl Data, Securonix, Varonis Systems, Varonis Systems, Varonis Systems, Exabeam
21 January 2020, Dagoretti News

Startups that put money to work
31 December 2019, Livemint

[Tech30] These industry veterans’ startup encourages millennials to save and invest money smartly
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