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DBMS > DolphinDB vs. etcd vs. Graph Engine vs. Sqrrl vs. Teradata

System Properties Comparison DolphinDB vs. etcd vs. Graph Engine vs. Sqrrl vs. Teradata

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonetcd  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSqrrl  Xexclude from comparisonTeradata  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.A distributed reliable key-value storeA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineAdaptable, secure NoSQL built on Apache AccumuloA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelTime Series DBMSKey-value storeGraph DBMS
Key-value store
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score7.25
Rank#54  Overall
#5  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitewww.dolphindb.cometcd.io
github.com/­etcd-io/­etcd
www.graphengine.iosqrrl.comwww.teradata.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmletcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
www.graphengine.io/­docs/­manualdocs.teradata.com
DeveloperDolphinDB, IncMicrosoftAmazon infooriginally Sqrrl Data, Inc.Teradata
Initial release2018201020121984
Current releasev2.00.4, January 20223.4, August 2019Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache Version 2.0Open Source infoMIT Licensecommercialcommercial
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++Go.NET and CJava
Server operating systemsLinux
Windows
FreeBSD
Linux
Windows infoexperimental
.NETLinuxhosted
Linux
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nononoyes
Secondary indexesyesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSQL-like query languagenononoyes infoSQL 2016 + extensions
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
gRPC
JSON over HTTP
RESTful HTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
C#
C++
F#
Visual Basic
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyesnoyesnoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyes, watching key changesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningSharding infomaking use of HadoopSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.selectable replication factor infomaking use of HadoopMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnonoAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyesyes
User concepts infoAccess controlAdministrators, Users, GroupsnoCell-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
DolphinDBetcdGraph Engine infoformer name: TrinitySqrrlTeradata
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