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DBMS > BoltDB vs. SiriDB vs. TerminusDB vs. Vertica

System Properties Comparison BoltDB vs. SiriDB vs. TerminusDB vs. Vertica

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonSiriDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Open Source Time Series DBMSScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsCloud 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 modelKey-value storeTime Series DBMSGraph DBMSRelational DBMS infoColumn oriented
Secondary database modelsDocument store
RDF store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.80
Rank#215  Overall
#31  Key-value stores
Score0.07
Rank#378  Overall
#42  Time Series DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Websitegithub.com/­boltdb/­boltsiridb.comterminusdb.comwww.vertica.com
Technical documentationdocs.siridb.comterminusdb.github.io/­terminusdb/­#vertica.com/­documentation
DeveloperCesbitDataChemist Ltd.OpenText infopreviously Micro Focus and Hewlett Packard
Initial release2013201720182005
Current release11.0.0, January 202312.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMIT LicenseOpen Source infoGPL V3commercial 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 languageGoCProlog, RustC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxLinux
Data schemeschema-freeyesyesYes, 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 datenoyes infoNumeric datayesyes
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 indexesnoyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnonoSQL-like query language (WOQL)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsHTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesGoC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
JavaScript
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnonoyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnonoyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneShardingGraph Partitioninghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesJournaling StreamsMulti-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 systemnoneImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlnosimple rights management via user accountsRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
BoltDBSiriDBTerminusDB infoformer name was DataChemistVertica infoOpenText™ Vertica™
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
BoltDBSiriDBTerminusDB infoformer name was DataChemistVertica infoOpenText™ Vertica™
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