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DBMS > Blueflood vs. DolphinDB vs. FileMaker vs. ScyllaDB

System Properties Comparison Blueflood vs. DolphinDB vs. FileMaker vs. ScyllaDB

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonDolphinDB  Xexclude from comparisonFileMaker  Xexclude from comparisonScyllaDB  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraDolphinDB 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.Cassandra and DynamoDB compatible wide column store
Primary database modelTime Series DBMSTime Series DBMSRelational DBMSWide column store
Secondary database modelsRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websiteblueflood.iowww.dolphindb.comwww.claris.com/­filemakerwww.scylladb.com
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.dolphindb.cn/­en/­help200/­index.htmlwww.claris.com/­resources/­documentationdocs.scylladb.com
DeveloperRackspaceDolphinDB, IncClaris infoa subsidiary of AppleScyllaDB
Initial release2013201819832015
Current releasev2.00.4, January 202219.4.1, November 2021ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community version availablecommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC++C++
Server operating systemsLinux
OS X
Linux
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
Data schemepredefined schemeyesyesschema-free
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.nonoyes infoA http query request can return the data in XML formatno
Secondary indexesnoyesyesyes infocluster global secondary indices
SQL infoSupport of SQLnoSQL-like query languageyes infovia pluginsSQL-like DML and DDL statements (CQL)
APIs and other access methodsHTTP RESTJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Filemaker WebDirect
JDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
PHPFor CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
Server-side scripts infoStored proceduresnoyesyesyes, Lua
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on Cassandrahorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandrayesSource-replica replication, warm standby infosince Version 14selectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoin-memory tables
User concepts infoAccess controlnoAdministrators, Users, Groupssimple rights management via user accounts and connection to external directory servicesAccess rights for users can be defined per object
More information provided by the system vendor
BluefloodDolphinDBFileMakerScyllaDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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BluefloodDolphinDBFileMakerScyllaDB
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