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DBMS > BigchainDB vs. Heroic vs. Titan vs. Vertica

System Properties Comparison BigchainDB vs. Heroic vs. Titan vs. Vertica

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Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonHeroic  Xexclude from comparisonTitan  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchTitan is a Graph DBMS optimized for distributed clusters.Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument storeTime Series DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#187  Overall
#29  Document stores
Score0.23
Rank#251  Overall
#16  Time Series DBMS
Score22.65
Rank#29  Overall
#17  Relational DBMS
Websitewww.bigchaindb.comspotify.github.io/­heroic/­#!/­indextitan.thinkaurelius.comwww.vertica.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestspotify.github.io/­heroic/­#!/­docs/­overviewgithub.com/­thinkaurelius/­titan/­wikiwww.vertica.com/­documentation/­vertica
DeveloperSpotifyAurelius, owned by DataStaxVertica / Micro Focus infoprior to that Hewlett Packard
Initial release2016201420122005
Current releaseVertica Analytics Platform 9.2.x, March 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache 2.0Open Source infoApache license, version 2.0commercial 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 languagePythonJavaJava
Server operating systemsLinuxLinux
OS X
Unix
Windows
Linux
Data schemeschema-freeschema-freeyesyes infoUnstructured data can be stored in specific Flex-Tables
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.nonoyes
Secondary indexesyes infovia Elasticsearchyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnononoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsCLI Client
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Clojure
Java
Python
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyesyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infovia pluggable storage backendsSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyesMaster-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Faunus, a graph analytics engineyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlyesUser authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
BigchainDBHeroicTitanVertica 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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More resources
BigchainDBHeroicTitanVertica infoVertica Analytics Platform
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