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DBMS > Hyprcubd vs. OpenTSDB vs. TimescaleDB vs. YottaDB

System Properties Comparison Hyprcubd vs. OpenTSDB vs. TimescaleDB vs. YottaDB

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonOpenTSDB  Xexclude from comparisonTimescaleDB  Xexclude from comparisonYottaDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSScalable Time Series DBMS based on HBaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA fast and solid embedded Key-value store
Primary database modelTime Series DBMSTime Series DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMSRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#140  Overall
#12  Time Series DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websitehyprcubd.com (offline)opentsdb.netwww.timescale.comyottadb.com
Technical documentationopentsdb.net/­docs/­build/­html/­index.htmldocs.timescale.comyottadb.com/­resources/­documentation
DeveloperHyprcubd, Inc.currently maintained by Yahoo and other contributorsTimescaleYottaDB, LLC
Initial release201120172001
Current release2.15.0, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoLGPLOpen Source infoApache 2.0Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaCC
Server operating systemshostedLinux
Windows
Linux
OS X
Windows
Docker
Linux
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringnumeric data for metrics, strings for tagsnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesno
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.nonoyesno
Secondary indexesnonoyesno
SQL infoSupport of SQLSQL-like query languagenoyes infofull PostgreSQL SQL syntaxby using the Octo plugin
APIs and other access methodsgRPC (https)HTTP API
Telnet API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesErlang
Go
Java
Python
R
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on HBaseyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on HBaseSource-replica replication with hot standby and reads on replicas infoyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datanoyesyes
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.nononoyes
User concepts infoAccess controltoken accessnofine grained access rights according to SQL-standardUsers and groups based on OS-security mechanisms

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More resources
HyprcubdOpenTSDBTimescaleDBYottaDB
DB-Engines blog posts

Time Series DBMS are the database category with the fastest increase in popularity
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