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DBMS > Altibase vs. Apache Drill vs. CrateDB vs. SiteWhere

System Properties Comparison Altibase vs. Apache Drill vs. CrateDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonApache Drill  Xexclude from comparisonCrateDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDistributed Database based on LuceneM2M integration platform for persisting/querying time series data
Primary database modelRelational DBMSDocument store
Relational DBMS
Document store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitealtibase.comdrill.apache.orgcratedb.comgithub.com/­sitewhere/­sitewhere
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdrill.apache.org/­docscratedb.com/­docssitewhere1.sitewhere.io/­index.html
DeveloperAltibaseApache Software FoundationCrateSiteWhere
Initial release1999201220132010
Current releasev7.3, 2023, August 20231.20.3, January 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2Open SourceOpen Source infoCommon Public Attribution License Version 1.0
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 languageC++JavaJava
Server operating systemsAIX
HP-UX
Linux
Linux
OS X
Windows
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
OS X
Windows
Data schemeyesschema-freeFlexible Schema (defined schema, partial schema, schema free)predefined scheme
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.nononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLANSI SQL-92SQL SELECT statement is SQL:2003 compliantyes, but no triggers and constraints, and PostgreSQL compatibilityno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
HTTP REST
Supported programming languagesC
C++
Java
C++.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
Server-side scripts infoStored proceduresstored procedures and stored functionsuser defined functionsuser defined functions (Javascript)
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyesConfigurable replication on table/partition-levelselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infounique row identifiers can be used for implementing an optimistic concurrency control strategyno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesDepending on the underlying data sourcenono
User concepts infoAccess controlfine grained access rights according to SQL-standardDepending on the underlying data sourcerights management via user accountsUsers with fine-grained authorization concept
More information provided by the system vendor
AltibaseApache DrillCrateDBSiteWhere
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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AltibaseApache DrillCrateDBSiteWhere
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