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DBMS > BoltDB vs. SQream DB vs. Vertica vs. WakandaDB

System Properties Comparison BoltDB vs. SQream DB vs. Vertica vs. WakandaDB

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonSQream DB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.a GPU-based, columnar RDBMS for big data analytics workloadsCloud 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.WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelKey-value storeRelational DBMSRelational DBMS infoColumn orientedObject oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#225  Overall
#31  Key-value stores
Score0.62
Rank#234  Overall
#109  Relational DBMS
Score9.62
Rank#42  Overall
#26  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitegithub.com/­boltdb/­boltsqream.comwww.vertica.comwakanda.github.io
Technical documentationdocs.sqream.comvertica.com/­documentationwakanda.github.io/­doc
DeveloperSQream TechnologiesOpenText infopreviously Micro Focus and Hewlett PackardWakanda SAS
Initial release2013201720052012
Current release2022.1.6, December 202212.0.3, January 20232.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercialcommercial infoLimited community edition freeOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, CUDA, Haskell, Java, ScalaC++C++, JavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinuxLinux
OS X
Windows
Data schemeschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyesyes
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 indexesnonoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.no
APIs and other access methods.Net
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
RESTful HTTP API
Supported programming languagesGoC++
Java
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
JavaScript
Server-side scripts infoStored proceduresnouser defined functions in Pythonyes, PostgreSQL PL/pgSQL, with minor differencesyes
Triggersnonoyes, called Custom Alertsyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal and vertical partitioninghorizontal partitioning, hierarchical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashyes

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More resources
BoltDBSQream DBVertica infoOpenText™ Vertica™WakandaDB
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