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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. MaxDB vs. XTDB

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. MaxDB vs. XTDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A robust and reliable RDBMS optimized to run all major SAP solutionsA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelGraph DBMSRelational DBMSKey-value store
Wide column store
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score2.32
Rank#112  Overall
#55  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtablemaxdb.sap.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docsmaxdb.sap.com/­documentationwww.xtdb.com/­docs
DeveloperDgraph Labs, Inc.EsgynGoogleSAP, acquired from Software AG (Adabas-D) in 1997Juxt Ltd.
Initial release20162015201519842019
Current release7.9.10.12, February 20241.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infoLimited community edition freeOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaC++Clojure
Server operating systemsLinux
OS X
Windows
LinuxhostedAIX
HP-UX
Linux
Solaris
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes, extensible-data-notation format
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.nonononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnoyeslimited SQL, making use of Apache Calcite
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
ODBC
WebDAV
HTTP REST
JDBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
Perl
PHP
Python
Clojure
Java
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyesno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
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)Immediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
DgraphEsgynDBGoogle Cloud BigtableMaxDB infoformerly named Adabas-DXTDB infoformerly named Crux
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