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DBMS > CrateDB vs. HarperDB vs. OpenTSDB vs. SQream DB

System Properties Comparison CrateDB vs. HarperDB vs. OpenTSDB vs. SQream DB

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonHarperDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionDistributed Database based on LuceneUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Scalable Time Series DBMS based on HBasea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Document storeTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websitecratedb.comwww.harperdb.ioopentsdb.netsqream.com
Technical documentationcratedb.com/­docsdocs.harperdb.io/­docsopentsdb.net/­docs/­build/­html/­index.htmldocs.sqream.com
DeveloperCrateHarperDBcurrently maintained by Yahoo and other contributorsSQream Technologies
Initial release2013201720112017
Current release3.1, August 20212022.1.6, December 2022
License infoCommercial or Open SourceOpen Sourcecommercial infofree community edition availableOpen Source infoLGPLcommercial
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 languageJavaNode.jsJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
OS X
Linux
Windows
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)dynamic schemaschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesnumeric data for metrics, strings for tagsyes, ANSI Standard SQL Types
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.nonono
Secondary indexesyesyesnono
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilitySQL-like data manipulation statementsnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP API
Telnet API
.Net
JDBC
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#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Erlang
Go
Java
Python
R
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)Custom Functions infosince release 3.1nouser defined functions in Python
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingA table resides as a whole on one (or more) nodes in a clusterSharding infobased on HBasehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelyes infothe nodes on which a table resides can be definedselectable replication factor infobased on HBasenone
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 Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynononono
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 strategyAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlrights management via user accountsAccess rights for users and rolesno
More information provided by the system vendor
CrateDBHarperDBOpenTSDBSQream DB
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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CrateDBHarperDBOpenTSDBSQream DB
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