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DBMS > Interbase vs. LevelDB vs. Newts vs. Vertica

System Properties Comparison Interbase vs. LevelDB vs. Newts vs. Vertica

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Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonLevelDB  Xexclude from comparisonNewts  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionLight-weight proven RDBMS infooriginally from BorlandEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesTime Series DBMS based on CassandraCloud 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
Score3.78
Rank#77  Overall
#41  Relational DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Score9.62
Rank#42  Overall
#26  Relational DBMS
Websitewww.embarcadero.com/­products/­interbasegithub.com/­google/­leveldbopennms.github.io/­newtswww.vertica.com
Technical documentationdocs.embarcadero.com/­products/­interbasegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdgithub.com/­OpenNMS/­newts/­wikivertica.com/­documentation
DeveloperEmbarcaderoGoogleOpenNMS GroupOpenText infopreviously Micro Focus and Hewlett Packard
Initial release1984201120142005
Current releaseInterBase 2020, December 20191.23, February 202112.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen 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 languageCC++JavaC++
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Illumos
Linux
OS X
Windows
Linux
OS X
Windows
Linux
Data schemeyesschema-freeschema-freeYes, 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 dateyesnoyesyes
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.no infoexport as XML data possiblenonono
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 methodsADO.NET
JDBC
ODBC
HTTP REST
Java API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languagenonoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnonoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infobased on Cassandrahorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change Viewsnoneselectable replication factor infobased on CassandraMulti-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 ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyes
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
InterbaseLevelDBNewtsVertica infoOpenText™ Vertica™
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