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DBMS > Interbase vs. Titan vs. Vertica vs. XTDB

System Properties Comparison Interbase vs. Titan vs. Vertica vs. XTDB

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Editorial information provided by DB-Engines
NameInterbase  Xexclude from comparisonTitan  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonXTDB infoformerly named Crux  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.
DescriptionLight-weight proven RDBMS infooriginally from BorlandTitan is a Graph DBMS optimized for distributed clusters.Cloud or off-cloud 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.A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSGraph DBMSRelational DBMS infoColumn orientedDocument store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitewww.embarcadero.com/­products/­interbasegithub.com/­thinkaurelius/­titanwww.vertica.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.embarcadero.com/­products/­interbasegithub.com/­thinkaurelius/­titan/­wikivertica.com/­documentationwww.xtdb.com/­docs
DeveloperEmbarcaderoAurelius, owned by DataStaxOpenText infopreviously Micro Focus and Hewlett PackardJuxt Ltd.
Initial release1984201220052019
Current releaseInterBase 2020, December 201912.0.3, January 20231.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache license, version 2.0commercial infoLimited community edition freeOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC++Clojure
Server operating systemsAndroid
iOS
Linux
OS X
Windows
Linux
OS X
Unix
Windows
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.schema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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.no infoexport as XML data possiblenono
Secondary indexesyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLyesnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.limited SQL, making use of Apache Calcite
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
HTTP REST
JDBC
Supported programming languages.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
Clojure
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Clojure
Java
Server-side scripts infoStored proceduresyes infoInterbase procedure and trigger languageyesyes, PostgreSQL PL/pgSQL, with minor differencesno
Triggersyesyesyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesnoneyes infovia pluggable storage backendshorizontal partitioning, hierarchical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesInterbase Change ViewsyesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.yes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics engineno infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoMultiversion concurreny controlyesyesyes
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlfine grained access rights according to SQL-standardUser 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
InterbaseTitanVertica infoOpenText™ Vertica™XTDB infoformerly named Crux
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
InterbaseTitanVertica infoOpenText™ Vertica™XTDB infoformerly named Crux
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