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DBMS > DolphinDB vs. Google Cloud Spanner vs. Graph Engine vs. H2 vs. OpenEdge

System Properties Comparison DolphinDB vs. Google Cloud Spanner vs. Graph Engine vs. H2 vs. OpenEdge

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  Xexclude from comparisonOpenEdge  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Application development environment with integrated database management system
Primary database modelTime Series DBMSRelational DBMSGraph DBMS
Key-value store
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.14
Rank#85  Overall
#6  Time Series DBMS
Score3.37
Rank#97  Overall
#50  Relational DBMS
Score0.64
Rank#241  Overall
#21  Graph DBMS
#35  Key-value stores
Score8.14
Rank#50  Overall
#32  Relational DBMS
Score3.53
Rank#94  Overall
#49  Relational DBMS
Websitewww.dolphindb.comcloud.google.com/­spannerwww.graphengine.iowww.h2database.comwww.progress.com/­openedge
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlcloud.google.com/­spanner/­docswww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.htmldocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperDolphinDB, IncGoogleMicrosoftThomas MuellerProgress Software Corporation
Initial release20182017201020051984
Current releasev2.00.4, January 20222.2.220, July 2023OpenEdge 12.2, March 2020
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++.NET and CJava
Server operating systemsLinux
Windows
hosted.NETAll OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infoQuery statements complying to ANSI 2011noyesyes infoclose to SQL 92
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Go
Java
JavaScript (Node.js)
Python
C#
C++
F#
Visual Basic
JavaProgress proprietary ABL (Advanced Business Language)
Server-side scripts infoStored proceduresyesnoyesJava Stored Procedures and User-Defined Functionsyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioningnonehorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication with 3 replicas for regional instances.With clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoStrict serializable isolationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlAdministrators, Users, GroupsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardUsers and groups

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More resources
DolphinDBGoogle Cloud SpannerGraph Engine infoformer name: TrinityH2OpenEdge
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