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DBMS > CockroachDB vs. Vertica

System Properties Comparison CockroachDB vs. Vertica

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Cloud or on-premises 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 DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.69
Rank#57  Overall
#33  Relational DBMS
Score19.04
Rank#38  Overall
#24  Relational DBMS
Websitewww.cockroachlabs.comwww.vertica.com
Technical documentationwww.cockroachlabs.com/­docsvertica.com/­documentation
DeveloperCockroach LabsMicro Focus infoprior to that Hewlett Packard
Initial release20152005
Current release21.1.2, June 202111.1, February 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono 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.
CockroachDB: A cloud-native, distributed SQL database designed for speed, scale, and survival. Get started for free today with a fully-managed CockroachDB cluster -- leave operations behind and get your app to market faster.Vertica Accelerator’s high-performance analytics and machine learning with SQL or Python is available as a managed service.
Implementation languageGoC++
Server operating systemsLinux
macOS
Windows
Linux
Data schemedynamic schemayes, but unstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesyes: BINARY, BOOLEAN, CHAR, VARCHAR, LONG VARCHAR, DATE, TIME, TIMESTAMP, INTERVAL, INTERVAL DAY TO SECOND, INTERVAL YEAR TO MONTH, DOUBLE PRECISION, FLOAT, INTEGER, BIGINT, SMALLINT,NUMERIC, DECIMAL, NUMBER, MONEY,GEOMETRY
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
Secondary indexesyesNo Indexes Required
SQL infoSupport of SQLyes, wire compatible with PostgreSQLFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBCADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFThorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-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 methodsnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
CockroachDBVertica infoVertica Analytics Platform
Specific characteristicsCockroachDB is a cloud-native, distributed SQL database architected for modern applications....
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Deploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
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Competitive advantages- EFFORTLESS SCALE: Scale your applications, not operational complexity. CockroachDB...
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Fast, scalable and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosSystem of record (financial ledger, inventory management, transaction record), identity...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersComcast, DoorDash, Mythical Games, Norfolk Southern, LUSH, Bose, Shipt, MyDoc, Bitski,...
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Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Market metrics8K+ long-running clusters 2.5K+ CockroachDB Self-Hosted clusters 15K+ CockroachDB...
» more
Licensing and pricing models- Apache 2.0 for core features released up to and including the 19.1 release - Time-limited...
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
CockroachDBVertica infoVertica Analytics Platform
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