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DBMS > Alibaba Cloud Table Store vs. Altibase vs. Faircom EDGE vs. Impala vs. Vertica

System Properties Comparison Alibaba Cloud Table Store vs. Altibase vs. Faircom EDGE vs. Impala vs. Vertica

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAltibase  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonImpala  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAn enterprise grade, high-performance RDBMSFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsAnalytic DBMS for HadoopCloud or on-premises analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelWide column storeRelational DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.39
Rank#258  Overall
#11  Wide column stores
Score0.95
Rank#180  Overall
#88  Relational DBMS
Score0.13
Rank#304  Overall
#44  Key-value stores
#139  Relational DBMS
Score18.03
Rank#40  Overall
#25  Relational DBMS
Score19.29
Rank#38  Overall
#24  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storealtibase.comwww.faircom.com/­products/­faircomedge-iot-databasewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.vertica.com
Technical documentationwww.alibabacloud.com/­help/­product/­27278.htmgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualslearn.faircomcorp.com/­developers/­documentation_directorydocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlvertica.com/­documentation
DeveloperAlibabaAltibaseFairCom CorporationClouderaMicro Focus infoprior to that Hewlett Packard
Initial release20161999197920132005
Current releasev7.1.0.5.3, March 2021V3, October 20204.0.0, July 202111.1, February 2022
License infoCommercial or Open SourcecommercialOpen Source infosince February 2018commercial infoRestricted, free version availableOpen Source infoApache Version 2commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Vertica Accelerator’s high-performance analytics and machine learning with SQL or Python is available as a managed service.
Implementation languageC++ANSI C, C++C++C++
Server operating systemshostedAIX
HP-UX
Linux
Android
Linux infoARM, x86
Raspbian
Windows
LinuxLinux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yesyes, but unstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesyes, ANSI Standard SQL Typesyesyes: BINARY, BOOLEAN, CHAR, VARCHAR, LONG VARCHAR, DATE, TIME, TIMESTAMP, INTERVAL, INTERVAL DAY TO SECOND, INTERVAL YEAR TO MONTH, DOUBLE PRECISION, FLOAT, INTEGER, BIGINT, SMALLINT,NUMERIC, DECIMAL, NUMBER, MONEY,GEOMETRY
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.nonoyesnono
Secondary indexesnoyesyesyesNo Indexes Required
SQL infoSupport of SQLnoANSI SQL-92yes infoANSI SQL queriesSQL-like DML and DDL statementsFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHTTP APIJDBC
ODBC
Proprietary protocol
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesJava
Python
C
C++
Java
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
All languages supporting JDBC/ODBCC#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnostored procedures and stored functionsyes info.Net, JavaScript, C/C++yes infouser defined functions and integration of map-reduceyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingFile partitioning infoCustomizable business rules for partitioningShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyesyes infoSynchronous and asynchronous realtime replication based on transaction logsselectable replication factorMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduceno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes infowhen using SQLnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnono
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine grained access rights according to SQL-standardFine 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; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Alibaba Cloud Table StoreAltibaseFaircom EDGE infoformerly c-treeEDGEImpalaVertica infoVertica Analytics Platform
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
» more
Competitive advantagesFast, scalable and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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More resources
Alibaba Cloud Table StoreAltibaseFaircom EDGE infoformerly c-treeEDGEImpalaVertica infoVertica Analytics Platform
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