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DBMS > Apache Druid vs. Ingres vs. Sadas Engine vs. searchxml vs. Vertica

System Properties Comparison Apache Druid vs. Ingres vs. Sadas Engine vs. searchxml vs. Vertica

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonIngres  Xexclude from comparisonSadas Engine  Xexclude from comparisonsearchxml  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 dataWell established RDBMSSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsDBMS for structured and unstructured content wrapped with an application serverCloud 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 DBMSRelational DBMSNative XML DBMS
Search engine
Relational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitedruid.apache.orgwww.actian.com/­databases/­ingreswww.sadasengine.comwww.searchxml.net/­category/­productswww.vertica.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.actian.com/­ingreswww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwww.searchxml.net/­support/­handoutsvertica.com/­documentation
DeveloperApache Software Foundation and contributorsActian CorporationSADAS s.r.l.informationpartners gmbhOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20121974 infooriginally developed at University Berkely in early 1970s200620152005
Current release29.0.1, April 202411.2, May 20228.01.012.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercialcommercial infofree trial version availablecommercialcommercial 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

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Implementation languageJavaCC++C++C++
Server operating systemsLinux
OS X
Unix
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
AIX
Linux
Windows
WindowsLinux
Data schemeyes infoschema-less columns are supportedyesyesschema-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 dateyesyesyesyesyes
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.nono infobut tools for importing/exporting data from/to XML-files availablenoyesno
Secondary indexesyesyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL for queryingyesyesnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
RESTful HTTP/JSON API
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
WebDAV
XQuery
XSLT
ADO.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
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infomost other programming languages supported via APIsC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyesnoyes infoon the application serveryes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesnonoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning infoIngres Star to access multiple databases simultaneouslyhorizontal partitioningnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesIngres Replicatornoneyes infosychronisation to multiple collectionsMulti-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 methodsnonononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDmultiple readers, single writerACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infomanaged by 'Learn by Usage'nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardDomain, group and role-based access control at the document level and for application servicesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Apache DruidIngresSadas EnginesearchxmlVertica infoOpenText™ Vertica™
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
Apache DruidIngresSadas EnginesearchxmlVertica infoOpenText™ Vertica™
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