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DBMS > TigerGraph vs. Vertica vs. XAP

System Properties Comparison TigerGraph vs. Vertica vs. XAP

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Editorial information provided by DB-Engines
NameTigerGraph  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparisonXAP  Xexclude from comparison
DescriptionA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performanceHigh performant in-memory data grid for mission critical applications. Insight Edge from the same company extends XAP for AI/ML support, BI and other interfaces
Primary database modelGraph DBMSRelational DBMSDocument store
Key-value store infoValues are user defined objects
Secondary database modelsDocument storeObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#159  Overall
#12  Graph DBMS
Score21.77
Rank#31  Overall
#18  Relational DBMS
Score1.00
Rank#168  Overall
#26  Document stores
#31  Key-value stores
Websitewww.tigergraph.comwww.vertica.comwww.gigaspaces.com/­products/­xap
Technical documentationdocs.tigergraph.comwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htmdocs.gigaspaces.com/­latest/­landing.html
DeveloperVertica / Micro Focus infoprior to that Hewlett PackardGigaspaces Technologies
Initial release201720052000
Current releaseVertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
14.5.0, June 2019
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freeOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platformno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, C++, .Net
Server operating systemsLinuxLinuxLinux
macOS
Solaris
Windows
Data schemeyesyes infoUnstructured data can be stored in specific Flex-Tablesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno infoXML can be used for describing objects metadata
Secondary indexesno infoThe concept of 'projections' can be used instead of indexes.yes
SQL infoSupport of SQLSQL-like query language (GSQL)yes infonearly full SQL99 without support for indexes and triggersSQL-like query language and DML statements
APIs and other access methodsGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC++
Java
C++
Java
Perl
Python
R
.Net
C++
Java
Server-side scripts infoStored proceduresyesyesyes
Triggersnonoyes infoEvent Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoSegmentation, Projection Segmentation, Hash SegmentationSharding infoHash based
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoCluster level and Object level replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infowith Vertica Connector for Hadoopyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashRole-based access control
More information provided by the system vendor
TigerGraphVertica infoVertica Analytics PlatformXAP
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersTigerGraph’s proven technology supports applications such as fraud detection, customer...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsTigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsNEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more
Cost-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
TigerGraphVertica infoVertica Analytics PlatformXAP
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