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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. Interbase vs. openGemini

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. Interbase vs. openGemini

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonInterbase  Xexclude from comparisonopenGemini  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.Light-weight proven RDBMS infooriginally from BorlandAn open source distributed Time Series DBMS with high concurrency, high performance, and high scalability
Primary database modelGraph DBMSRelational DBMSKey-value store
Wide column store
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score5.04
Rank#71  Overall
#39  Relational DBMS
Score0.03
Rank#381  Overall
#40  Time Series DBMS
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtablewww.embarcadero.com/­products/­interbasewww.opengemini.org
github.com/­openGemini
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docsdocs.embarcadero.com/­products/­interbasedocs.opengemini.org/­guide
DeveloperDgraph Labs, Inc.EsgynGoogleEmbarcaderoHuawei and openGemini community
Initial release20162015201519842022
Current releaseInterBase 2020, December 20191.1, July 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source infoApache Version 2.0
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++, JavaCGo
Server operating systemsLinux
OS X
Windows
LinuxhostedAndroid
iOS
Linux
OS X
Windows
Linux
Windows
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesInteger, Float, Boolean, String
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 infoexport as XML data possibleno
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnoyesSQL-like query language
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
HTTP REST
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
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C++
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnoJava Stored Proceduresnoyes infoInterbase procedure and trigger languageno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingnoneSharding
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 zonesInterbase Change Viewsyes
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 operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
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-standardAdministrators and common users accounts

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More resources
DgraphEsgynDBGoogle Cloud BigtableInterbaseopenGemini
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