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DBMS > HyperSQL vs. LevelDB vs. Prometheus vs. Vertica

System Properties Comparison HyperSQL vs. LevelDB vs. Prometheus vs. Vertica

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonLevelDB  Xexclude from comparisonPrometheus  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen-source Time Series DBMS and monitoring systemCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSKey-value storeTime Series DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.14
Rank#85  Overall
#46  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitehsqldb.orggithub.com/­google/­leveldbprometheus.iowww.vertica.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdprometheus.io/­docsvertica.com/­documentation
DeveloperGoogleOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2001201120152005
Current release2.7.2, June 20231.23, February 202112.0.3, January 2023
License infoCommercial or Open SourceOpen Source infobased on BSD licenseOpen Source infoBSDOpen Source infoApache 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++GoC++
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesIllumos
Linux
OS X
Windows
Linux
Windows
Linux
Data schemeyesschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyes
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 infoImport of XML data possibleno
Secondary indexesyesnonoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesnonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
RESTful HTTP/JSON APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresJava, SQLnonoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnonoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneyes infoby FederationMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
HyperSQL infoalso known as HSQLDBLevelDBPrometheusVertica infoOpenText™ Vertica™
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