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

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

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGeoMesa  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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A 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 DBMSSpatial DBMSGraph 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
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Score0.62
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score47.84
Rank#21  Overall
#15  Relational DBMS
Websitewww.dolphindb.comwww.geomesa.orgwww.graphengine.iosqrrl.comwww.teradata.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmlwww.graphengine.io/­docs/­manualdocs.teradata.com
DeveloperDolphinDB, IncCCRi and othersMicrosoftAmazon infooriginally Sqrrl Data, Inc.Teradata
Initial release20182014201020121984
Current releasev2.00.4, January 20224.0.5, February 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache License 2.0Open Source infoMIT Licensecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Scala.NET and CJava
Server operating systemsLinux
Windows
.NETLinuxhosted
Linux
Data schemeyesyesyesschema-freeyes
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.nononoyes
Secondary indexesyesyesyesyes 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
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
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
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningdepending on storage layerhorizontal partitioningSharding infomaking use of HadoopSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesdepending on storage layerselectable replication factor infomaking use of HadoopMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate 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.yesdepending on storage layeryesyes
User concepts infoAccess controlAdministrators, Users, Groupsyes infodepending on the DBMS used for storageCell-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
DolphinDBGeoMesaGraph Engine infoformer name: TrinitySqrrlTeradata
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