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DBMS > Realm vs. SpaceTime vs. TerminusDB vs. Vertica

System Properties Comparison Realm vs. SpaceTime vs. TerminusDB vs. Vertica

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Editorial information provided by DB-Engines
NameRealm  Xexclude from comparisonSpaceTime  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataSpaceTime is a spatio-temporal DBMS with a focus on performance.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsCloud 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.
Primary database modelDocument storeSpatial DBMSGraph DBMSRelational DBMS infoColumn oriented
Secondary database modelsRelational DBMSDocument store
RDF store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.60
Rank#52  Overall
#9  Document stores
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websiterealm.iowww.mireo.com/­spacetimeterminusdb.comwww.vertica.com
Technical documentationrealm.io/­docsterminusdb.github.io/­terminusdb/­#vertica.com/­documentation
DeveloperRealm, acquired by MongoDB in May 2019MireoDataChemist Ltd.OpenText infopreviously Micro Focus and Hewlett Packard
Initial release2014202020182005
Current release11.0.0, January 202312.0.3, January 2023
License infoCommercial or Open SourceOpen SourcecommercialOpen Source infoGPL V3commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Prolog, RustC++
Server operating systemsAndroid
Backend: server-less
iOS
Windows
LinuxLinuxLinux
Data schemeyesyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono
Secondary indexesyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoA subset of ANSI SQL is implementedSQL-like query language (WOQL)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsRESTful HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Python
JavaScript
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresno inforuns within the applications so server-side scripts are unnecessarynoyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes infoChange Listenersnoyesyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneFixed-grid hypercubesGraph Partitioninghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneReal-time block device replication (DRBD)Journaling StreamsMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-Memory realmnono
User concepts infoAccess controlyesyesRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
RealmSpaceTimeTerminusDB infoformer name was DataChemistVertica infoOpenText™ Vertica™
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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RealmSpaceTimeTerminusDB infoformer name was DataChemistVertica infoOpenText™ Vertica™
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