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DBMS > DolphinDB vs. H2 vs. Immudb vs. Sqrrl vs. Valentina Server

System Properties Comparison DolphinDB vs. H2 vs. Immudb vs. Sqrrl vs. Valentina Server

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonH2  Xexclude from comparisonImmudb  Xexclude from comparisonSqrrl  Xexclude from comparisonValentina Server  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Adaptable, secure NoSQL built on Apache AccumuloObject-relational database and reports server
Primary database modelTime Series DBMSRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsRelational DBMSSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.dolphindb.comwww.h2database.comgithub.com/­codenotary/­immudb
immudb.io
sqrrl.comwww.valentina-db.net
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.h2database.com/­html/­main.htmldocs.immudb.iovalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDolphinDB, IncThomas MuellerCodenotaryAmazon infooriginally Sqrrl Data, Inc.Paradigma Software
Initial release20182005202020121999
Current releasev2.00.4, January 20222.2.220, July 20231.2.3, April 20225.7.5
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGoJava
Server operating systemsLinux
Windows
All OS with a Java VMBSD
Linux
macOS
Solaris
Windows
z/OS
LinuxLinux
OS X
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like syntaxnoyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
gRPC protocol
PostgreSQL wire protocol
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Java.Net
Go
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined Functionsnonoyes
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesnoyes
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard

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More resources
DolphinDBH2ImmudbSqrrlValentina Server
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