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DBMS > DolphinDB vs. FileMaker vs. Splice Machine vs. Sqrrl vs. TigerGraph

System Properties Comparison DolphinDB vs. FileMaker vs. Splice Machine vs. Sqrrl vs. TigerGraph

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonFileMaker  Xexclude from comparisonSplice Machine  Xexclude from comparisonSqrrl  Xexclude from comparisonTigerGraph  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.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAdaptable, secure NoSQL built on Apache AccumuloA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.dolphindb.comwww.claris.com/­filemakersplicemachine.comsqrrl.comwww.tigergraph.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.claris.com/­resources/­documentationsplicemachine.com/­how-it-worksdocs.tigergraph.com
DeveloperDolphinDB, IncClaris infoa subsidiary of AppleSplice MachineAmazon infooriginally Sqrrl Data, Inc.
Initial release20181983201420122017
Current releasev2.00.4, January 202219.4.1, November 20213.1, March 2021
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoAGPL 3.0, commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJavaC++
Server operating systemsLinux
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
LinuxLinux
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.noyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infovia pluginsyesnoSQL-like query language (GSQL)
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Filemaker WebDirect
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
PHPC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Server-side scripts infoStored proceduresyesyesyes infoJavanoyes
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoYes, via Full Spark Integrationyesyes
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.
Foreign keys infoReferential integritynoyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, 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.yesyesno
User concepts infoAccess controlAdministrators, Users, Groupssimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role-based access control

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More resources
DolphinDBFileMakerSplice MachineSqrrlTigerGraph
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