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DBMS > FileMaker vs. GridGain vs. Hyprcubd vs. ScyllaDB

System Properties Comparison FileMaker vs. GridGain vs. Hyprcubd vs. ScyllaDB

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Editorial information provided by DB-Engines
NameFileMaker  Xexclude from comparisonGridGain  Xexclude from comparisonHyprcubd  Xexclude from comparisonScyllaDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionFileMaker is a cross-platform RDBMS that includes a GUI frontend.GridGain is an in-memory computing platform, built on Apache IgniteServerless Time Series DBMSCassandra and DynamoDB compatible wide column store
Primary database modelRelational DBMSKey-value store
Relational DBMS
Time Series DBMSWide column store
Secondary database modelsKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Websitewww.claris.com/­filemakerwww.gridgain.comhyprcubd.com (offline)www.scylladb.com
Technical documentationwww.claris.com/­resources/­documentationwww.gridgain.com/­docs/­index.htmldocs.scylladb.com
DeveloperClaris infoa subsidiary of AppleGridGain Systems, Inc.Hyprcubd, Inc.ScyllaDB
Initial release198320072015
Current release19.4.1, November 2021GridGain 8.5.1ScyllaDB Open Source 5.4.1, January 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoOpen Source (AGPL), commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJava, C++, .NetGoC++
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
hostedLinux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotime, int, uint, float, stringyes
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.yes infoA http query request can return the data in XML formatyesnono
Secondary indexesyesyesnoyes infocluster global secondary indices
SQL infoSupport of SQLyes infovia pluginsANSI-99 for query and DML statements, subset of DDLSQL-like query languageSQL-like DML and DDL statements (CQL)
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC (https)Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Supported programming languagesPHPC#
C++
Java
PHP
Python
Ruby
Scala
For 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 proceduresyesyes (compute grid and cache interceptors can be used instead)noyes, Lua
Triggersyesyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14yes (replicated cache)selectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
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.yesnoyes infoin-memory tables
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesSecurity Hooks for custom implementationstoken accessAccess rights for users can be defined per object
More information provided by the system vendor
FileMakerGridGainHyprcubdScyllaDB
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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FileMakerGridGainHyprcubdScyllaDB
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