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DBMS > Bangdb vs. FileMaker vs. Heroic vs. Microsoft Azure Synapse Analytics

System Properties Comparison Bangdb vs. FileMaker vs. Heroic vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonFileMaker  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphFileMaker is a cross-platform RDBMS that includes a GUI frontend.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score45.20
Rank#20  Overall
#14  Relational DBMS
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Websitebangdb.comwww.claris.com/­filemakergithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.bangdb.comwww.claris.com/­resources/­documentationspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSachin Sinha, BangDBClaris infoa subsidiary of AppleSpotifyMicrosoft
Initial release2012198320142016
Current releaseBangDB 2.0, October 202119.4.1, November 2021
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC++
Server operating systemsLinuxiOS infoclient part only
Linux
OS X
Windows
hosted
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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 formatnono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes infovia Elasticsearchyes
SQL infoSupport of SQLSQL like support with command line toolyes infovia pluginsnoyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
Filemaker WebDirect
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
PHPC#
Java
PHP
Server-side scripts infoStored proceduresnoyesnoTransact SQL
Triggersyes, Notifications (with Streaming only)yesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replication, warm standby infosince Version 14yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeno
User concepts infoAccess controlyes (enterprise version only)simple rights management via user accounts and connection to external directory servicesyes

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More resources
BangdbFileMakerHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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