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DBMS > c-treeACE vs. Impala vs. Microsoft SQL Server

System Properties Comparison c-treeACE vs. Impala vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
Namec-treeACE  Xexclude from comparisonImpala  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.Analytic DBMS for HadoopMicrosofts relational DBMS
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.52
Rank#207  Overall
#35  Key-value stores
#98  Relational DBMS
Score15.07
Rank#36  Overall
#22  Relational DBMS
Score1081.91
Rank#3  Overall
#3  Relational DBMS
Websitewww.faircom.com/­-products/­-c-treeacewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.microsoft.com/­en-us/­sql-server
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorywww.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmldocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentation
DeveloperFairCom CorporationClouderaMicrosoft
Initial release197920131989
Current releaseV11.5, November 20173.3.0, August 2019SQL Server 2019, November 2019
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2commercial inforestricted free version is 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 languageANSI C, C++C++C++
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
LinuxLinux
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesSQL-like DML and DDL statementsyes
APIs and other access methodsADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
All languages supporting JDBC/ODBCC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infouser defined functions and integration of map-reduceTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factoryes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesnoyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standard
More information provided by the system vendor
c-treeACEImpalaMicrosoft SQL Server
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

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.

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More resources
c-treeACEImpalaMicrosoft SQL Server
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Recent citations in the news

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

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

Verizon awards database contract to FairCom
26 September 2018, Markets Insider

FairCom to feature #ctreeEDGE IoT Database at LiveWorx19
4 June 2019, PRNewswire

provided by Google News

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

Man Busts Out of Google, Rebuilds Top-Secret Query Machine
24 October 2012, Wired

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Microsoft Makes SQL Server 2019 Generally Available
4 November 2019, Redmond Channel Partner

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8 November 2019, Redmondmag.com

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