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DBMS > Oracle vs. Snowflake vs. Vertica

System Properties Comparison Oracle vs. Snowflake vs. Vertica

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Editorial information provided by DB-Engines
NameOracle  Xexclude from comparisonSnowflake  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionWidely used RDBMSCloud-based data warehousing service for structured and semi-structured dataCloud 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 DBMS infoColumn oriented
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1240.37
Rank#1  Overall
#1  Relational DBMS
Score136.53
Rank#7  Overall
#5  Relational DBMS
Score9.96
Rank#42  Overall
#26  Relational DBMS
Websitewww.oracle.com/­databasewww.snowflake.comwww.vertica.com
Technical documentationdocs.oracle.com/­en/­databasedocs.snowflake.net/­manuals/­index.htmlvertica.com/­documentation
DeveloperOracleSnowflake Computing Inc.OpenText infopreviously Micro Focus and Hewlett Packard
Initial release198020142005
Current release23c, September 202312.0.3, January 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availablecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesno 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 languageC and C++C++
Server operating systemsAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
hostedLinux
Data schemeyes infoSchemaless in JSON and XML columnsyes infosupport of semi-structured data formats (JSON, XML, Avro)Yes, 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 dateyesyesyes
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.yesyesno
Secondary indexesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyes infowith proprietary extensionsyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
CLI Client
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresPL/SQL infoalso stored procedures in Java possibleuser defined functionsyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesno infosimilar concept for controling cloud resourcesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyeshorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesMulti-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 methodsno infocan be realized in PL/SQLnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoisolation level can be parameterizedACIDACID
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.yes infoVersion 12c introduced the new option 'Oracle Database In-Memory'nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
OracleSnowflakeVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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Navicat for Oracle improves the efficiency and productivity of Oracle developers and administrators with a streamlined working environment.
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CData: Connect to Big Data & NoSQL through standard Drivers.
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More resources
OracleSnowflakeVertica infoOpenText™ Vertica™
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Conferences, events and webinars

Oracle Cloud World
Las Vegas, 9-12 September 2024

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