DBMS > CrateDB vs. Postgres-XL
System Properties Comparison CrateDB vs. Postgres-XL
Please select another system to include it in the comparison.
|Editorial information provided by DB-Engines
|CrateDB Xexclude from comparison
|Postgres-XL Xexclude from comparison
|Distributed Database based on Lucene
|Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
|Primary database model
Time Series DBMS
|Secondary database models
|2014 since 2012, originally named StormDB
|10 R1, October 2018
|License Commercial or Open Source
|Open Source Mozilla public license
|Cloud-based only Only available as a cloud service
|DBaaS offerings (sponsored links) Database as a Service
Providers of DBaaS offerings, please contact us to be listed.
|CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
|Server operating systems
|All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator support
|Flexible Schema (defined schema, partial schema, schema free)
|Typing predefined data types such as float or date
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.
|yes XML type, but no XML query functionality
|SQL Support of SQL
|yes, but no triggers and constraints, and PostgreSQL compatibility
|yes distributed, parallel query execution
|APIs and other access methods
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
native C library
streaming API for large objects
|Supported programming languages
Go community maintained client
Perl community maintained client
Ruby community maintained client
Scala community maintained client
|Server-side scripts Stored procedures
|user defined functions
|Partitioning methods Methods for storing different data on different nodes
|Replication methods Methods for redundantly storing data on multiple nodes
|Configurable replication on table/partition-level
|MapReduce Offers an API for user-defined Map/Reduce methods
|Consistency concepts Methods to ensure consistency in a distributed system
Read-after-write consistency on record level
|Foreign keys Referential integrity
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data
|no unique row identifiers can be used for implementing an optimistic concurrency control strategy
|Concurrency Support for concurrent manipulation of data
|Durability Support for making data persistent
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.
|User concepts Access control
|rights management via user accounts
|fine grained access rights according to SQL-standard
|More information provided by the system vendor
|CrateDB is an open-source distributed SQL database that spreads data and processing...
|Response time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
|Typical application scenarios
| IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
|Across all continents, CrateDB is used by companies of all sizes to meet the most...
|The CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
|Licensing and pricing models
|See CrateDB pricing >
We invite representatives of system vendors to contact us for updating and extending the system information,
Related products and services
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|Conferences, events and webinars
How to Get the Most Out of Your Time Series Data
CrateDB European Tour Amsterdam
|Recent citations in the news
CrateDB Appoints Sergey Gerasimenko as New CTO
Sergey Gerasimenko Steps Up as CrateDB's New CTO: A Strategic Leap Forward
10 Lesser-Known Databases. Discover Hidden Gems | by Abnoan Muniz
Real-Time Analytics Database Company CrateDB Names Lars Färnström as New CEO
How We Designed CrateDB as a Realtime SQL DBMS for the Internet of Things
provided by Google News
Challenges When Migrating from Oracle to PostgreSQL—and How to Overcome Them | Amazon Web Services
5 Takeaways from Big Data Spain 2017 | by Enrique Herreros
provided by Google News
Share this page