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DBMS > BoltDB vs. RocksDB vs. Splunk vs. Vertica

System Properties Comparison BoltDB vs. RocksDB vs. Splunk vs. Vertica

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonRocksDB  Xexclude from comparisonSplunk  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Embeddable persistent key-value store optimized for fast storage (flash and RAM)Analytics Platform for Big DataColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelKey-value storeKey-value storeSearch engineRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.48
Rank#208  Overall
#35  Key-value stores
Score2.42
Rank#99  Overall
#18  Key-value stores
Score90.53
Rank#12  Overall
#2  Search engines
Score22.17
Rank#30  Overall
#18  Relational DBMS
Websitegithub.com/­boltdb/­boltrocksdb.orgwww.splunk.comwww.vertica.com
Technical documentationgithub.com/­facebook/­rocksdb/­wikidocs.splunk.com/­Documentation/­Splunkwww.vertica.com/­documentation/­vertica
DeveloperFacebook, Inc.Splunk Inc.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release2013201320032005
Current release6.3.6, October 2019Vertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoBSDcommercial infoLimited free edition and free developer edition availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoavailable on Amazon AWS and Microsoft Azure
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or datenonoyesyes
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.nonoyesyes
Secondary indexesnonoyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnonono infoSplunk Search Processing Language for search commandsyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsC++ API
Java API
HTTP RESTADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesGoC++
Java
C#
Java
JavaScript
PHP
Python
Ruby
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnonoyesyes
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMaster-master replicationMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
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.noyesno
User concepts infoAccess controlnonoAccess rights for users and rolesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
BoltDBRocksDBSplunkVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» 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 available
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BoltDBRocksDBSplunkVertica infoVertica Analytics Platform
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