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DBMS > Amazon Redshift vs. EsgynDB vs. H2GIS vs. Vertica

System Properties Comparison Amazon Redshift vs. EsgynDB vs. H2GIS vs. Vertica

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonEsgynDB  Xexclude from comparisonH2GIS  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial extension of H2Cloud 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 modelRelational DBMSRelational DBMSSpatial DBMSRelational DBMS infoColumn oriented
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score25.94
Rank#31  Overall
#18  Relational DBMS
Score0.21
Rank#288  Overall
#134  Relational DBMS
Score0.03
Rank#335  Overall
#4  Spatial DBMS
Score19.29
Rank#38  Overall
#24  Relational DBMS
Websiteaws.amazon.com/­redshiftwww.esgyn.cnwww.h2gis.orgwww.vertica.com
Technical documentationdocs.aws.amazon.com/­redshiftwww.h2gis.org/­docs/­homevertica.com/­documentation
DeveloperAmazon (based on PostgreSQL)EsgynCNRSMicro Focus infoprior to that Hewlett Packard
Initial release2012201520132005
Current release11.1, February 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoLGPL 3.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono 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 languageCC++, JavaJavaC++
Server operating systemshostedLinuxLinux
Data schemeyesyesyesyes, but unstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyesyesyes: 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.nononono
Secondary indexesrestrictedyesyesNo Indexes Required
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardyesyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesAll languages supporting JDBC/ODBCAll languages supporting JDBC/ODBC/ADO.NetJavaC#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin PythonJava Stored Proceduresyes infobased on H2yes, PostgreSQL PL/pgSQL, with minor differences
Triggersnonoyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication between multi datacentersyes infobased on H2Multi-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 methodsnoyesnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, 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.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes infobased on H2fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Amazon RedshiftEsgynDBH2GISVertica 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...
» 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 both available. One license is...
» more

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More resources
Amazon RedshiftEsgynDBH2GISVertica infoVertica Analytics Platform
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