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DBMS > CrateDB vs. Interbase vs. Sadas Engine vs. Vitess

System Properties Comparison CrateDB vs. Interbase vs. Sadas Engine vs. Vitess

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonInterbase  Xexclude from comparisonSadas Engine  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionDistributed Database based on LuceneLight-weight proven RDBMS infooriginally from BorlandSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitecratedb.comwww.embarcadero.com/­products/­interbasewww.sadasengine.comvitess.io
Technical documentationcratedb.com/­docsdocs.embarcadero.com/­products/­interbasewww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationvitess.io/­docs
DeveloperCrateEmbarcaderoSADAS s.r.l.The Linux Foundation, PlanetScale
Initial release2013198420062013
Current releaseInterBase 2020, December 20198.015.0.2, December 2022
License infoCommercial or Open SourceOpen Sourcecommercialcommercial infofree trial version availableOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase 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.
Implementation languageJavaCC++Go
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAndroid
iOS
Linux
OS X
Windows
AIX
Linux
Windows
Docker
Linux
macOS
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoexport as XML data possibleno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesyesyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions (Javascript)yes infoInterbase procedure and trigger languagenoyes infoproprietary syntax
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelInterbase Change ViewsnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infomanaged by 'Learn by Usage'yes
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
CrateDBInterbaseSadas EngineVitess
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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More resources
CrateDBInterbaseSadas EngineVitess
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