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DBMS > c-treeEDGE vs. Vertica

System Properties Comparison c-treeEDGE vs. Vertica

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Editorial information provided by DB-Engines
Namec-treeEDGE  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionDatabase built for IoT edge computing, which runs natively on ARM or x86 processors and on major IoT operating systems.Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#252  Overall
#43  Key-value stores
#117  Relational DBMS
Score21.92
Rank#31  Overall
#18  Relational DBMS
Websitewww.faircom.com/­products/­c-treeedge-iot-databasewww.vertica.com
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorywww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperFairCom CorporationVertica / Micro Focus infoprior to that Hewlett Packard
Initial release19792005
Current releaseV1, Juni 2018Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++
Server operating systemsAndroid
Linux
Raspbian
Windows infoeasily portable to other OSs
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyes
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.noyes
Secondary indexesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes infoANSI SQL queriesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes
Durability infoSupport for making data persistentyesyes
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.fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
c-treeEDGEVertica infoVertica Analytics Platform
Specific characteristicsThe c-treeEDGE IoT Database is a fast, flexible solution with a robust architecture...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesTop Features Micro footprint: As low as 37 MB IoT communication interfaces : MQTT,...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosc-treeEDGE can be deployed at or near the data collection point (sensors) and used...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersNew product
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsNew product
» more
Licensing and pricing modelsJust as the technical aspects of c-treeEDGE are flexible to meet operation requirements,...
» more
Cost-based models and subscription-based models are available
» more

Related products and services

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More resources
c-treeEDGEVertica infoVertica Analytics Platform
Recent citations in the news

FairCom's c-treeEDGE Added to PTC Marketplace
26 August 2020, Embedded Computing Design

FairCom names new senior sales director
27 January 2020, PRNewswire

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

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

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