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DBMS > ActivePivot vs. Adabas vs. TigerGraph vs. Vertica

System Properties Comparison ActivePivot vs. Adabas vs. TigerGraph vs. Vertica

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Editorial information provided by DB-Engines
NameActivePivot  Xexclude from comparisonAdabas infodenotes "adaptable data base"  Xexclude from comparisonTigerGraph  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.OLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformA 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 performance
Primary database modelObject oriented DBMSMultivalue DBMSGraph DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#215  Overall
#12  Object oriented DBMS
Score4.78
Rank#74  Overall
#1  Multivalue DBMS
Score1.13
Rank#153  Overall
#12  Graph DBMS
Score21.58
Rank#31  Overall
#18  Relational DBMS
Websiteactiveviam.com/­en/­products/­activepivot-in-memory-analytical-databasewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlwww.tigergraph.comwww.vertica.com
Technical documentationdocs.tigergraph.comwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperActiveViamSoftware AGVertica / Micro Focus infoprior to that Hewlett Packard
Initial release197120172005
Current releaseVertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
LinuxLinux
Data schemeyesyesyes infoUnstructured data can be stored in specific Flex-Tables
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.nonoyes
Secondary indexesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infowith add-on product Adabas SQL GatewaySQL-like query language (GSQL)yes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesNaturalC++
Java
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresPost-processors in Javain Naturalyesyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source 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 systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
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.yesnono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Role-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
ActivePivotAdabas infodenotes "adaptable data base"TigerGraphVertica infoVertica Analytics Platform
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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More resources
ActivePivotAdabas infodenotes "adaptable data base"TigerGraphVertica infoVertica Analytics Platform
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