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DBMS > BoltDB vs. DolphinDB vs. Interbase vs. SpatiaLite vs. Vertica

System Properties Comparison BoltDB vs. DolphinDB vs. Interbase vs. SpatiaLite vs. Vertica

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonInterbase  Xexclude from comparisonSpatiaLite  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionAn embedded key-value store for Go.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Light-weight proven RDBMS infooriginally from BorlandSpatial extension of SQLiteCloud 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 DBMS
Vector DBMS
Relational DBMSSpatial DBMSRelational DBMS infoColumn oriented
Secondary database modelsRelational DBMSRelational DBMSSpatial 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
Score2.72
Rank#100  Overall
#8  Time Series DBMS
#5  Vector DBMS
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.dolphindb.comwww.embarcadero.com/­products/­interbasewww.gaia-gis.it/­fossil/­libspatialite/­indexwww.vertica.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.embarcadero.com/­products/­interbasewww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlvertica.com/­documentation
DeveloperDolphinDB, IncEmbarcaderoAlessandro FurieriOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20132018198420082005
Current releasev2.00.4, January 2022InterBase 2020, December 20195.0.0, August 202012.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infofree community version availablecommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono 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 languageGoC++CC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Android
iOS
Linux
OS X
Windows
server-lessLinux
Data schemeschema-freeyesyesyesYes, 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 datenoyesyesyesyes
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 infoexport as XML data possiblenono
Secondary indexesnoyesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoSQL-like query languageyesyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
ODBC
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
MatLab
Python
R
Rust
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyesyes infoInterbase procedure and trigger languagenoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnonoyesyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningnonenonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesInterbase Change ViewsnoneMulti-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 methodsnoyesnonono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyesno
User concepts infoAccess controlnoAdministrators, Users, Groupsfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
BoltDBDolphinDBInterbaseSpatiaLiteVertica infoOpenText™ Vertica™
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