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DBMS > Apache Druid vs. FileMaker vs. NCache vs. Quasardb vs. Vertica

System Properties Comparison Apache Druid vs. FileMaker vs. NCache vs. Quasardb vs. Vertica

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonFileMaker  Xexclude from comparisonNCache  Xexclude from comparisonQuasardb  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataFileMaker is a cross-platform RDBMS that includes a GUI frontend.Open-Source and Enterprise in-memory Key-Value StoreDistributed, high-performance timeseries databaseCloud 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 DBMS
Time Series DBMS
Relational DBMSKey-value storeTime Series DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
Search engine infoUsing distributed Lucene
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score48.20
Rank#20  Overall
#14  Relational DBMS
Score0.94
Rank#195  Overall
#29  Key-value stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitedruid.apache.orgwww.claris.com/­filemakerwww.alachisoft.com/­ncachequasar.aiwww.vertica.com
Technical documentationdruid.apache.org/­docs/­latest/­designwww.claris.com/­resources/­documentationwww.alachisoft.com/­resources/­docsdoc.quasar.ai/­mastervertica.com/­documentation
DeveloperApache Software Foundation and contributorsClaris infoa subsidiary of AppleAlachisoftquasardbOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20121983200520092005
Current release29.0.1, April 202419.4.1, November 20215.3.3, April 20243.14.1, January 202412.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoEnterprise Edition availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#, .NET, .NET Core, JavaC++C++
Server operating systemsLinux
OS X
Unix
iOS infoclient part only
Linux
OS X
Windows
Linux
Windows
BSD
Linux
OS X
Windows
Linux
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeYes, 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 dateyesyespartial infoSupported data types are Lists, Queues, Hashsets, Dictionary and Counteryes infointeger and binaryyes
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 formatnonono
Secondary indexesyesyesyesyes infowith tagsNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL for queryingyes infovia pluginsSQL-like query syntax and LINQ for searching the cache. Cache Synchronization with SQL Server using SQL dependency.SQL-like query languageFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
RESTful HTTP/JSON API
Filemaker WebDirect
JDBC
ODBC
IDistributedCache
JCache
LINQ
Proprietary native API
HTTP APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
PHP.Net
.Net Core
C#
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyesno infosupport for stored procedures with SQL-Server CLRnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesyes infoNotificationsnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednoneyesSharding infoconsistent hashinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replication, warm standby infosince Version 14yes, with selectable consistency levelSource-replica replication with selectable replication factorMulti-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 methodsnonoyeswith Hadoop integrationno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Strong Eventual Consistency over WAN with Conflict Resolution using Bridge Topology
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonooptimistic locking and pessimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient modeno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemsimple rights management via user accounts and connection to external directory servicesAuthentication to access the cache via Active Directory/LDAP (possible roles: user, administrator)Cryptographically strong user authentication and audit trailfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Apache DruidFileMakerNCacheQuasardbVertica infoOpenText™ Vertica™
Specific characteristicsNCache has been the market leader in .NET Distributed Caching since 2005 . NCache...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesNCache is 100% .NET/ .NET Core based which fully supports ASP.NET Core Sessions ,...
» more
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosNCache enables industries like retail, finance, banking IoT, travel, ecommerce, healthcare...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersBank of America, Citi, Natures Way, Charter Spectrum, Barclays, Henry Schein, GBM,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsMarket Leader in .NET Distributed Caching since 2005.
» more
Licensing and pricing modelsNCache Open Source is free on an as-is basis without any support. NCache Enterprise...
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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Apache DruidFileMakerNCacheQuasardbVertica infoOpenText™ Vertica™
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