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DBMS > Brytlyt vs. Databricks vs. Faircom EDGE vs. FileMaker vs. VoltDB

System Properties Comparison Brytlyt vs. Databricks vs. Faircom EDGE vs. FileMaker vs. VoltDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonDatabricks  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFileMaker  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFileMaker is a cross-platform RDBMS that includes a GUI frontend.Distributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSDocument store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitebrytlyt.iowww.databricks.comwww.faircom.com/­products/­faircom-edgewww.claris.com/­filemakerwww.voltdb.com
Technical documentationdocs.brytlyt.iodocs.databricks.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.claris.com/­resources/­documentationdocs.voltdb.com
DeveloperBrytlytDatabricksFairCom CorporationClaris infoa subsidiary of AppleVoltDB Inc.
Initial release20162013197919832010
Current release5.0, August 2023V3, October 202019.4.1, November 202111.3, April 2022
License infoCommercial or Open Sourcecommercialcommercialcommercial infoRestricted, free version availablecommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAANSI C, C++Java, C++
Server operating systemsLinux
OS X
Windows
hostedAndroid
Linux infoARM, x86
Raspbian
Windows
iOS infoclient part only
Linux
OS X
Windows
Linux
OS X infofor development
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes
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 infospecific XML-type available, but no XML query functionality.yesyesyes infoA http query request can return the data in XML format
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyeswith Databricks SQLyes infoANSI SQL queriesyes infovia pluginsyes infoonly a subset of SQL 99
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Python
R
Scala
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
PHPC#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLuser defined functions and aggregatesyes info.Net, JavaScript, C/C++yesJava
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes infoSynchronous and asynchronous realtime replication based on transaction logsSource-replica replication, warm standby infosince Version 14Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.simple rights management via user accounts and connection to external directory servicesUsers and roles with access to stored procedures
More information provided by the system vendor
BrytlytDatabricksFaircom EDGE infoformerly c-treeEDGEFileMakerVoltDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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BrytlytDatabricksFaircom EDGE infoformerly c-treeEDGEFileMakerVoltDB
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