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DBMS > EsgynDB vs. Vertica vs. Weaviate

System Properties Comparison EsgynDB vs. Vertica vs. Weaviate

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparisonWeaviate  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performanceA cloud-native, realtime vector search engine integrating scalable machine learning models
Primary database modelRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.30
Rank#268  Overall
#123  Relational DBMS
Score20.16
Rank#35  Overall
#21  Relational DBMS
Score0.20
Rank#286  Overall
#15  Search engines
Websitewww.esgyn.cnwww.vertica.comgithub.com/­semi-technologies/­weaviate
www.semi.technology/­solutions/­weaviate
Technical documentationwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htmwww.semi.technology/­developers/­weaviate/­current
DeveloperEsgynVertica / Micro Focus infoprior to that Hewlett PackardSeMI Technologies B.V.
Initial release201520052017
Current releaseVertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
1.0.3, January 2021
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freeOpen Source infocommercial license available with Weaviate Enterprise
Cloud-based only infoOnly available as a cloud servicenono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platformno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaGo
Server operating systemsLinuxLinux
Data schemeyesyes infoUnstructured data can be stored in specific Flex-Tablesyes, maps to GraphQL interface
Typing infopredefined data types such as float or dateyesyesyes infostring, int, float, geo point, date, cross reference, fuzzy references
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 indexesyesno infoThe concept of 'projections' can be used instead of indexes.yes infoall data objects are indexed in a semantic vector space (the Contextionary), all primitive fields are indexed
SQL infoSupport of SQLyesyes infonearly full SQL99 without support for indexes and triggersGraphQL is used as query language
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
GraphQL query language
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC++
Java
Perl
Python
R
Server-side scripts infoStored proceduresJava Stored Proceduresyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoSegmentation, Projection Segmentation, Hash SegmentationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication infoCluster level and Object level replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infowith Vertica Connector for Hadoopno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashOpenID Connect Discovery
More information provided by the system vendor
EsgynDBVertica infoVertica Analytics PlatformWeaviate
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
News

Weaviate in IEEE

Weaviate on DB-engines.com

Introduction & Demo video

FLOSS Weekly Podcast

FOSDEM 2020 video

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
EsgynDBVertica infoVertica Analytics PlatformWeaviate
DB-Engines blog posts

Weaviate, an ANN Database with CRUD support
2 February 2021,  Etienne Dilocker, SeMI Technologies (sponsor) 

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Recent citations in the news

Mphasis partners with Esgyn Corporation to provide specialized solutions to clients looking to harness big...
28 May 2019, Moneycontrol

Esgyn Corporation and Ampool Partner to Bring In-Memory Optimized Operational, Transactional and Real-Time Analytics to Hadoop.
18 May 2017, PR Newswire

provided by Google News

Vertica Announces Vertica 11, Delivering on Vision of Unified Analytics
20 July 2021, PRNewswire

GoodData and Vertica Accelerate Cloud-Native Self-Service Analytics
16 July 2021, Database Trends and Applications

GoodData and Vertica Partner to Accelerate Cloud-Native Self-Service Analytics Adoption in the ...
15 July 2021, The Bakersfield Californian

Vertica Launches Version 11: Major Features & Upgrades Introduced
22 July 2021, Analytics India Magazine

Business intelligence: mastering masses of data with machine learning
22 July 2021, Market Research Telecast

provided by Google News

Why the rise of vector databases is a revolution for data analysis
7 July 2021, TechGenix

Weaviate is an open-source search engine powered by ML, vectors, graphs, and GraphQL
7 April 2021, ZDNet

The History of the Weaviate Vector Search Engine
9 May 2020, hackernoon.com

Semantic Search Queries Return More Informed Results
14 April 2021, hackernoon.com

6 Top & Best Open source Search Engine Software for Enterprises
17 June 2019, H2S Media

provided by Google News

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