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DBMS > Alibaba Cloud PolarDB vs. Apache Pinot vs. FileMaker vs. Vertica

System Properties Comparison Alibaba Cloud PolarDB vs. Apache Pinot vs. FileMaker vs. Vertica

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Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonApache Pinot  Xexclude from comparisonFileMaker  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.Realtime distributed OLAP datastore, designed to answer OLAP queries with low latencyFileMaker 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.
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#235  Overall
#108  Relational DBMS
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitewww.alibabacloud.com/­product/­polardbpinot.apache.orgwww.claris.com/­filemakerwww.vertica.com
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewdocs.pinot.apache.orgwww.claris.com/­resources/­documentationvertica.com/­documentation
DeveloperAlibabaApache Software Foundation and contributorsClaris infoa subsidiary of AppleOpenText infopreviously Micro Focus and Hewlett Packard
Initial release201519832005
Current release1.0.0, September 202319.4.1, November 202112.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud serviceyesnonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedAll OS with a Java JDK11 or higheriOS infoclient part only
Linux
OS X
Windows
Linux
Data schemeyesyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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.yesyes infoA http query request can return the data in XML formatno
Secondary indexesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesSQL-like query languageyes infovia pluginsFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
ODBC
JDBCFilemaker WebDirect
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesJava
Python
Go
Java
Python
PHPC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceSource-replica replication, warm standby infosince Version 14Multi-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Alibaba Cloud PolarDBApache PinotFileMakerVertica infoOpenText™ Vertica™
Specific characteristicsPolarDB, previously ApsaraDB for PolarDB, is a cloud-native relational database designed...
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Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesWebinar: Top Scientists Live: Tech Secrets to Double 11's Success Revealed. White...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCreating a Robust Cloud-Based Database for Fintech, E-Commerce and Gaming. Learn...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsSpecification and pricing. You can use either of the following billing methods to...
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Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
Alibaba Cloud PolarDBApache PinotFileMakerVertica infoOpenText™ Vertica™
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