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DBMS > Alibaba Cloud AnalyticDB for PostgreSQL vs. EsgynDB vs. TerarkDB vs. Vertica

System Properties Comparison Alibaba Cloud AnalyticDB for PostgreSQL vs. EsgynDB vs. TerarkDB vs. Vertica

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Editorial information provided by DB-Engines
NameAlibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionAn online MPP (Massively Parallel Processing) data warehousing service based on GreenplumEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.32
Rank#237  Overall
#111  Relational DBMS
Score0.15
Rank#266  Overall
#125  Relational DBMS
Score0.05
Rank#314  Overall
#53  Key-value stores
Score22.63
Rank#29  Overall
#17  Relational DBMS
Websitewww.alibabacloud.com/­product/­hybriddb-postgresqlesgyn.comgithub.com/­Terark/­terarkdbwww.vertica.com
Technical documentationwww.alibabacloud.com/­help/­doc-detail/­35387.htmesgyn.com/­developersgithub.com/­Terark/­terarkdb/­wikiwww.vertica.com/­documentation/­vertica/­9-3-x-documentation
DeveloperAlibaba / Pivotal Software Inc. / PostgreSQL Global Development GroupEsgynTerarkVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2016201520162005
Current releaseVertica Analytics Platform 9.3.x, January 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial inforestricted open source version availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono 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 languageC++, JavaC++
Server operating systemshostedLinuxLinux
Data schemeyesyesschema-freeyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnonoyes
Secondary indexesyesyesnono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLyesyesnoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
C++ API
Java API
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC
Java
Perl
Python
R
All languages supporting JDBC/ODBC/ADO.NetC++
Java
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyesJava Stored Proceduresnoyes
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingnoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMaster-master replication between multi datacentersnoneMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBEsgynDBTerarkDBVertica infoVertica Analytics Platform
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more
Cost-based models and subscription-based models are available
» more

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More resources
Alibaba Cloud AnalyticDB for PostgreSQL infoformer name was HybridDBEsgynDBTerarkDBVertica infoVertica Analytics Platform
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