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DBMS > Faircom DB vs. Impala vs. RavenDB

System Properties Comparison Faircom DB vs. Impala vs. RavenDB

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Editorial information provided by DB-Engines
NameFaircom DB infoformerly c-treeACE  Xexclude from comparisonImpala  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.Analytic DBMS for HadoopOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsDocument storeGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#280  Overall
#41  Key-value stores
#134  Relational DBMS
Score17.49
Rank#40  Overall
#25  Relational DBMS
Score3.46
Rank#93  Overall
#16  Document stores
Websitewww.faircom.com/­products/­faircom-dbwww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlravendb.net
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorydocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlravendb.net/­docs
DeveloperFairCom CorporationClouderaHibernating Rhinos
Initial release197920132010
Current releaseV12, November 20204.0.0, July 20215.3, November 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infoApache Version 2Open Source infoAGPL version 3, commercial license 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
macOS
Raspberry Pi
Windows
Data schemeschema free, schema optional, schema required, partial schema,yesschema-free
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesno
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.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes, ANSI SQL with proprietary extensionsSQL-like DML and DDL statementsSQL-like query language (RQL)
APIs and other access methodsADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
.NET Client API
Java Client API
Python Client API
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
All languages supporting JDBC/ODBC.Net
C#
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes infouser defined functions and integration of map-reduceyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).selectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes infoMapReduce functions can be defined in Linq
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datatunable from ACID to Eventually ConsistentnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentYes, tunable from durable to delayed durability to in-memoryyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlFine grained access rights according to SQL-standard with additional protections for filesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess control on document level using the Authorization Bundle
More information provided by the system vendor
Faircom DB infoformerly c-treeACEImpalaRavenDB
Specific characteristicsAchieve Hundreds of Thousands of Transactions Per Second on A Single Database Server...
» more
RavenDB is the pioneer NoSQL Document Database that is fully transactional (ACID)...
» more
Competitive advantagesTop Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
» more
RavenDB is easy to setup and secure. You can do it in a matter of minutes . Easy...
» more
Typical application scenariosReal-time transaction processing solutions leverage FairCom DB because its NoSQL...
» more
IoT for Edge Deployments Fraud Detection Recommendation Engines Product Catalogs...
» more
Key customersMicrosoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
Toyota, Capgemini, Vodafone, Medicaid, Asos, Nomura, RMS Automotive, MSNBC, Pluralsight,...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
2 million+ downloads 1000+ customers including Fortune 500 large enterprises
» more
Licensing and pricing modelsJust as the technical aspects of FairCom DB are flexible to meet operation requirements,...
» more
RavenDB is available on-premise and in the cloud. RavenDB Cloud is available on AWS...
» more

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More resources
Faircom DB infoformerly c-treeACEImpalaRavenDB
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