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

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

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonDgraph  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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.Spatial and temporal data processing engine for extreme data scaleGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelRelational DBMSGraph DBMSEvent StoreRelational DBMSKey-value store
Wide column store
Secondary database modelsTime Series DBMS
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
Websiteaws.amazon.com/­redshiftdgraph.iowww.eventstore.comgeospock.comcloud.google.com/­bigtable
Technical documentationdocs.aws.amazon.com/­redshiftdgraph.io/­docsdevelopers.eventstore.comcloud.google.com/­bigtable/­docs
DeveloperAmazon (based on PostgreSQL)Dgraph Labs, Inc.Event Store LimitedGeoSpockGoogle
Initial release2012201620122015
Current release21.2, February 20212.0, September 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoJava, Javascript
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
hostedhosted
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesrestrictedyestemporal, categoricalno
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoANSI SQL for query only (using Presto)no
APIs and other access methodsJDBC
ODBC
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBCgRPC (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
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnonono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingyesAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication via RaftInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoAtomic single-row operations
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoPlanned for future releasesAccess rights for users can be defined per tableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
Amazon RedshiftDgraphEventStoreDBGeoSpockGoogle Cloud Bigtable
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