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DBMS > DolphinDB vs. Greenplum vs. Vertica

System Properties Comparison DolphinDB vs. Greenplum vs. Vertica

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGreenplum  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.04
Rank#173  Overall
#11  Time Series DBMS
Score13.76
Rank#42  Overall
#26  Relational DBMS
Score20.33
Rank#35  Overall
#21  Relational DBMS
Websitewww.dolphindb.comgreenplum.orgwww.vertica.com
Technical documentationwww.dolphindb.com/­helpdocs.greenplum.orgwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperDolphinDB, IncPivotal Software Inc.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release201820052005
Current release6.7.1, April 2020Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinux
Windows
LinuxLinux
Data schemeyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesyes
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 infosince Version 4.2yes
Secondary indexesnoyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL-like query languageyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC#
C++
Java
JavaScript
Python
R
C
Java
Perl
Python
R
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyesyesyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAdministrators, Users, Groupsfine 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
DolphinDBGreenplumVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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More resources
DolphinDBGreenplumVertica infoVertica Analytics Platform
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