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DBMS > BigchainDB vs. HyperSQL vs. Splice Machine vs. Vertica

System Properties Comparison BigchainDB vs. HyperSQL vs. Splice Machine vs. Vertica

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkCloud 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 modelDocument storeRelational DBMSRelational DBMSRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#216  Overall
#36  Document stores
Score3.14
Rank#85  Overall
#46  Relational DBMS
Score0.54
Rank#244  Overall
#114  Relational DBMS
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitewww.bigchaindb.comhsqldb.orgsplicemachine.comwww.vertica.com
Technical documentationbigchaindb.readthedocs.io/­en/­latesthsqldb.org/­web/­hsqlDocsFrame.htmlsplicemachine.com/­how-it-worksvertica.com/­documentation
DeveloperSplice MachineOpenText infopreviously Micro Focus and Hewlett Packard
Initial release2016200120142005
Current release2.7.2, June 20233.1, March 202112.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infobased on BSD licenseOpen Source infoAGPL 3.0, commercial license availablecommercial 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 languagePythonJavaJavaC++
Server operating systemsLinuxAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X
Solaris
Windows
Linux
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 datenoyesyesyes
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 indexesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyesyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsCLI Client
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
All languages supporting JDBC/ODBC
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresJava, SQLyes infoJavayes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneMulti-source replication
Source-replica replication
Multi-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 methodsnonoYes, via Full Spark Integrationno infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
BigchainDBHyperSQL infoalso known as HSQLDBSplice MachineVertica infoOpenText™ Vertica™
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