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DBMS > c-treeACE vs. Netezza vs. Sqrrl

System Properties Comparison c-treeACE vs. Netezza vs. Sqrrl

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Editorial information provided by DB-Engines
Namec-treeACE  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.Data warehouse and analytics appliance part of IBM PureSystemsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#210  Overall
#37  Key-value stores
#102  Relational DBMS
Score18.65
Rank#33  Overall
#20  Relational DBMS
Websitewww.faircom.com/­-products/­-c-treeacewww.ibm.com/­analytics/­netezzasqrrl.com
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directory
DeveloperFairCom CorporationIBMAmazon infooriginally Sqrrl Data, Inc.
Initial release197920002012
Current releaseV11.5, November 2017
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercial
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 languageANSI C, C++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Linux infoincluded in applianceLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyes
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
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesyesno
APIs and other access methodsADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
C
C++
Fortran
Java
Lua
Perl
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 proceduresyes info.Net, JavaScript, C/C++yesno
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyesyes
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.yes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Users with fine-grained authorization conceptCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)
More information provided by the system vendor
c-treeACENetezza infoAlso called PureData System for Analytics by IBMSqrrl
Specific characteristicsSpeed, reliability and consistency are the reasons businesses choose FairCom™s c-treeACE...
» more
Competitive advantagesTop Features High-speed transaction processing Immediately consistent, ACID-compliant,...
» more
Typical application scenariosc-treeACE speed, reliability, and flexibility are direct reasons this technology...
» more
Key customersVISA, UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
Licensing and pricing modelsJust as the technical aspects of c-treeACE are flexible to meet operation requirements,...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
c-treeACENetezza infoAlso called PureData System for Analytics by IBMSqrrl
Recent citations in the news

FairCom and Software AG sign new contract for c-treeACE Database
22 March 2019, PRNewswire

Database leader FairCom releases c-treeACE V11.5
8 November 2017, PR Newswire

FairCom names new senior sales director
27 January 2020, PRNewswire

Database leader FairCom celebrates 40 years of providing fast, reliable solutions
6 November 2019, PRNewswire

Verizon awards database contract to FairCom
26 September 2018, PR Newswire

provided by Google News

Snowflake Stock Risks a ‘Violent Selloff.’ Why One Analyst Is Worried.
21 September 2020, Barron's

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Netezza’s Not Dead: It’s Just Ascended
25 June 2020, Computer Business Review

Google, HCL Expand Cloud Migration Partnership
16 September 2020, EnterpriseAI

Migrating your Netezza data warehouse to Amazon Redshift
28 May 2020, idk.dev

provided by Google News

User and Entity Behavior Analytics Market to Witness Exponential Growth by 2020-2027 | Leading Players – Dtex Systems, Sqrrl Data, Securonix, Varonis Systems, Exabeam, Rapid7, Bay Dynamics, Niara
18 September 2020, thedailychronicle.in

User And Entity Behavior Analytics Market Status and Forecast 2027 By Top Companies – Bottomline Technologies?Inc, Niara Inc, Varonis Systems, Sqrrl Data?Inc, Bay Dynamics, Exabeam, Rapid7, Splunk Inc., Securonix, Observe IT, Dtex Systems, Gurucul
24 August 2020, The Daily Chronicle

AWS beefs up threat detection with Sqrrl acquisition
24 January 2018, TechCrunch

Sqrrl ferrets out network traffic anomalies to find hidden threats
28 September 2017, CSO Online

Made in Philadelphia Fall Market returns to Dilworth Park
3 September 2020, PhillyVoice.com

provided by Google News

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