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DBMS > c-treeACE vs. c-treeEDGE vs. H2 vs. Vertica

System Properties Comparison c-treeACE vs. c-treeEDGE vs. H2 vs. Vertica

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Editorial information provided by DB-Engines
Namec-treeACE  Xexclude from comparisonc-treeEDGE  Xexclude from comparisonH2  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionHigh speed key-value store, desgined for high availability, mission critical applications with automatic recovery and immediately consistent transaction support.Database built for IoT edge computing, which runs natively on ARM or x86 processors and on major IoT operating systems.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelKey-value store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.52
Rank#206  Overall
#34  Key-value stores
#99  Relational DBMS
Score0.38
Rank#227  Overall
#40  Key-value stores
#106  Relational DBMS
Score7.06
Rank#49  Overall
#29  Relational DBMS
Score22.65
Rank#29  Overall
#17  Relational DBMS
Websitewww.faircom.com/­-products/­-c-treeacewww.faircom.com/­-products/­-c-treeedgewww.h2database.comwww.vertica.com
Technical documentationlearn.faircomcorp.com/­developers/­documentation_directorylearn.faircomcorp.com/­developers/­documentation_directorywww.h2database.com/­html/­main.htmlwww.vertica.com/­documentation/­vertica
DeveloperFairCom CorporationFairCom CorporationThomas MuellerVertica / Micro Focus infoprior to that Hewlett Packard
Initial release1979197920052005
Current releaseV11.5, November 2017V1, Juni 20181.4.200, October 2019Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercial infoRestricted, free version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++ANSI C, C++Java
Server operating systemsAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
Android
Linux
Raspbian
Windows infoeasily portable to other OSs
All OS with a Java VMLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, schema free)yesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyes, 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.nononoyes
Secondary indexesyesyesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyes infoANSI SQL queriesyes infoANSI SQL queriesyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsADO.NET
Direct SQL
JDBC
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
.Net
C
C#
C++
Java
JavaScript
PHP
Python
Visual Basic
JavaC++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++yes info.Net, JavaScript, C/C++Java Stored Procedures and User-Defined Functionsyes
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningFile partitioning infoCustomizable business rules for partitioningnoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsyes infoSynchronous and asynchronous realtime replication based on transaction logsWith clustering: 2 database servers on different computers operate on identical copies of a databaseMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyes infowhen using SQLyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yes
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.yesyesyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
c-treeACEc-treeEDGEH2Vertica infoVertica Analytics Platform
Specific characteristicsSpeed, reliability and consistency are the reasons businesses choose FairCom’s c-treeACE...
» more
The 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 High-speed transaction processing Immediately consistent, ACID-compliant,...
» more
Top 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-treeACE speed, reliability, and flexibility are direct reasons this technology...
» more
c-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 customersVISA, UPS, Verizon, Motorola, CommVault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more
New product
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsFrom banking and financial transactions, transportation, warehouse automation, package...
» more
New product
» more
Licensing and pricing modelsJust as the technical aspects of c-treeACE are flexible to meet operation requirements,...
» more
Just as the technical aspects of c-treeEDGE are flexible to meet operation requirements,...
» more
Cost-based models and subscription-based models are available
» 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-treeACEc-treeEDGEH2Vertica infoVertica Analytics Platform
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
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