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DBMS > LevelDB vs. NuoDB vs. PostGIS vs. Vertica

System Properties Comparison LevelDB vs. NuoDB vs. PostGIS vs. Vertica

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonNuoDB  Xexclude from comparisonPostGIS  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesNuoDB is a webscale distributed database that supports SQL and ACID transactionsSpatial extension of PostgreSQLCloud or on-premises 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 storeRelational DBMSSpatial DBMSRelational DBMS infoColumn oriented
Secondary database modelsRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.38
Rank#99  Overall
#17  Key-value stores
Score0.97
Rank#185  Overall
#88  Relational DBMS
Score30.81
Rank#28  Overall
#1  Spatial DBMS
Score20.03
Rank#37  Overall
#23  Relational DBMS
Websitegithub.com/­google/­leveldbnuodb.compostgis.netwww.vertica.com
Technical documentationgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mddoc.nuodb.compostgis.net/­documentationvertica.com/­documentation
DeveloperGoogleNuoDB, Inc.Micro Focus infoprior to that Hewlett Packard
Initial release2011201320052005
Current release1.23, February 20213.2.1, February 202211.1, February 2022
License infoCommercial or Open SourceOpen Source infoBSDcommercial infolimited edition freeOpen Source infoGPL v2.0commercial 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

Providers of DBaaS offerings, please contact us to be listed.
Vertica Accelerator’s high-performance analytics and machine learning with SQL or Python is available as a managed service.
Implementation languageC++C++CC++
Server operating systemsIllumos
Linux
OS X
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Data schemeschema-freeyesyesyes, but unstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or datenoyesyesyes: BINARY, BOOLEAN, CHAR, VARCHAR, LONG VARCHAR, DATE, TIME, TIMESTAMP, INTERVAL, INTERVAL DAY TO SECOND, INTERVAL YEAR TO MONTH, DOUBLE PRECISION, FLOAT, INTEGER, BIGINT, SMALLINT,NUMERIC, DECIMAL, NUMBER, MONEY,GEOMETRY
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.nonoyesno
Secondary indexesnoyesyesNo Indexes Required
SQL infoSupport of SQLnoyesyesFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoJava, SQLuser defined functionsyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnonedata is dynamically stored/cached on the nodes where it is read/writtenyes infobased on PostgreSQLhorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoManaged transparently by NuoDByes infobased on PostgreSQLMulti-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 ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infotunable commit protocolACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTemporary tablenono
User concepts infoAccess controlnoStandard SQL roles/ privileges, Administrative Usersyes infobased on PostgreSQLfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
LevelDBNuoDBPostGISVertica infoVertica Analytics Platform
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
» more
Competitive advantagesFast, scalable and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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LevelDBNuoDBPostGISVertica infoVertica Analytics Platform
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