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DBMS > EsgynDB vs. Microsoft Azure SQL Database vs. OpenSearch vs. STSdb vs. Vertica

System Properties Comparison EsgynDB vs. Microsoft Azure SQL Database vs. OpenSearch vs. STSdb vs. Vertica

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOpenSearch  Xexclude from comparisonSTSdb  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDatabase as a Service offering with high compatibility to Microsoft SQL ServerA distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneKey-Value Store with special method for indexing infooptimized for high performance using a special indexing methodCloud or off-cloud 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 DBMSSearch engineKey-value storeRelational DBMS infoColumn oriented
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Vector DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score16.03
Rank#37  Overall
#4  Search engines
Score0.10
Rank#357  Overall
#51  Key-value stores
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitewww.esgyn.cnazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­opensearch-project
opensearch.org
github.com/­STSSoft/­STSdb4www.vertica.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlopensearch.org/­docs/­latestvertica.com/­documentation
DeveloperEsgynMicrosoftAmazon Web ServicesSTS Soft SCOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20152010202120112005
Current releaseV122.5.0, January 20234.0.8, September 201512.0.3, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoGPLv2, commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnonono 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.
  • Aiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
  • STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageC++, JavaC++JavaC#C++
Server operating systemsLinuxhostedAll OS with a Java VMWindowsLinux
Data schemeyesyesschema-free infoFlexible type definitions. Once a type is defined, it is persistentyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)yes
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.noyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexednoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesyesSQL-like query languagenoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Java API
RESTful HTTP/JSON API
.NET Client APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
C#
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresJava Stored ProceduresTransact SQLyesnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesyes infoby using the 'percolation' featurenoyes, 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 nodesMulti-source replication between multi datacentersyes, with always 3 replicas availableyesnoneMulti-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 methodsyesnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nono
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
EsgynDBMicrosoft Azure SQL Database infoformerly SQL AzureOpenSearchSTSdbVertica infoOpenText™ Vertica™
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Communication 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 modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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Related products and services
3rd partiesAiven for OpenSearch: Fully managed open source search and analytics suite. Out-of-the-box integrations get you up and running in a couple of clicks.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
EsgynDBMicrosoft Azure SQL Database infoformerly SQL AzureOpenSearchSTSdbVertica infoOpenText™ Vertica™
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