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DBMS > Dgraph vs. EventStoreDB vs. Google Cloud Bigtable vs. IBM Db2 Event Store vs. PlanetScale

System Properties Comparison Dgraph vs. EventStoreDB vs. Google Cloud Bigtable vs. IBM Db2 Event Store vs. PlanetScale

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPlanetScale  Xexclude from comparison
DescriptionDistributed 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.Distributed Event Store optimized for Internet of Things use casesScalable, distributed, serverless MySQL database platform built on top of Vitess
Primary database modelGraph DBMSEvent StoreKey-value store
Wide column store
Event Store
Time Series DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.59
Rank#151  Overall
#70  Relational DBMS
Websitedgraph.iowww.eventstore.comcloud.google.com/­bigtablewww.ibm.com/­products/­db2-event-storeplanetscale.com
Technical documentationdgraph.io/­docsdevelopers.eventstore.comcloud.google.com/­bigtable/­docswww.ibm.com/­docs/­en/­db2-event-storeplanetscale.com/­docs
DeveloperDgraph Labs, Inc.Event Store LimitedGoogleIBMPlanetScale
Initial release20162012201520172020
Current release21.2, February 20212.0
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Sourcecommercialcommercial infofree developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++Go
Server operating systemsLinux
OS X
Windows
Linux
Windows
hostedLinux infoLinux, macOS, Windows for the developer additionDocker
Linux
macOS
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono
Secondary indexesyesnonoyes
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeyes infowith proprietary extensions
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonoyesyes infoproprietary syntax
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftInternal replication in Colossus, and regional replication between two clusters in different zonesActive-active shard replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles

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More resources
DgraphEventStoreDBGoogle Cloud BigtableIBM Db2 Event StorePlanetScale
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