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DBMS > Amazon Redshift vs. Dgraph vs. EventStoreDB vs. Google Cloud Bigtable vs. YTsaurus

System Properties Comparison Amazon Redshift vs. Dgraph vs. EventStoreDB vs. Google Cloud Bigtable vs. YTsaurus

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDgraph  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsDistributed and scalable native Graph DBMSIndustrial-strength, open-source database solution built from the ground up for event sourcing.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.YTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSGraph DBMSEvent StoreKey-value store
Wide column store
Document store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websiteaws.amazon.com/­redshiftdgraph.iowww.eventstore.comcloud.google.com/­bigtableytsaurus.tech
Technical documentationdocs.aws.amazon.com/­redshiftdgraph.io/­docsdevelopers.eventstore.comcloud.google.com/­bigtable/­docsytsaurus.tech/­docs/­en
DeveloperAmazon (based on PostgreSQL)Dgraph Labs, Inc.Event Store LimitedGoogleYandex
Initial release20122016201220152023
Current release21.2, February 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open SourcecommercialOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC++
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
hostedUbuntu
Data schemeyesschema-freeschema-free
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.nononono
Secondary indexesrestrictedyesno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonoYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesAll languages supporting JDBC/ODBCC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftInternal replication in Colossus, and regional replication between two clusters in different zonesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID
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.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access Control Lists

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More resources
Amazon RedshiftDgraphEventStoreDBGoogle Cloud BigtableYTsaurus
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