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DBMS > FatDB vs. FileMaker vs. Vertica vs. YottaDB

System Properties Comparison FatDB vs. FileMaker vs. Vertica vs. YottaDB

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonFileMaker  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonYottaDB  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.FileMaker is a cross-platform RDBMS that includes a GUI frontend.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.A fast and solid embedded Key-value store
Primary database modelDocument store
Key-value store
Relational DBMSRelational DBMS infoColumn orientedKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score0.28
Rank#306  Overall
#44  Key-value stores
Websitewww.claris.com/­filemakerwww.vertica.comyottadb.com
Technical documentationwww.claris.com/­resources/­documentationvertica.com/­documentationyottadb.com/­resources/­documentation
DeveloperFatCloudClaris infoa subsidiary of AppleOpenText infopreviously Micro Focus and Hewlett PackardYottaDB, LLC
Initial release2012198320052001
Current release19.4.1, November 202112.0.3, January 2023
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited community edition freeOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC#C++C
Server operating systemsWindowsiOS infoclient part only
Linux
OS X
Windows
LinuxDocker
Linux
Data schemeschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.schema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 formatnono
Secondary indexesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.no
SQL infoSupport of SQLno infoVia inetgration in SQL Serveryes infovia pluginsFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.by using the Octo plugin
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Filemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesC#PHPC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infovia applicationsyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infovia applicationsyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication, warm standby infosince Version 14Multi-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationssimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashUsers and groups based on OS-security mechanisms
More information provided by the system vendor
FatDBFileMakerVertica infoOpenText™ Vertica™YottaDB
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
FatDBFileMakerVertica infoOpenText™ Vertica™YottaDB
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