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DBMS > GeoMesa vs. SAP Adaptive Server vs. SAP HANA vs. ScyllaDB vs. Vertica

System Properties Comparison GeoMesa vs. SAP Adaptive Server vs. SAP HANA vs. ScyllaDB vs. Vertica

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSAP HANA  Xexclude from comparisonScyllaDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSIn-memory, column based data store. Available as appliance or cloud serviceCassandra and DynamoDB compatible wide column storeCloud 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 modelSpatial DBMSRelational DBMSRelational DBMSWide column storeRelational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query ServerDocument store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
Key-value storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Score44.69
Rank#22  Overall
#16  Relational DBMS
Score4.75
Rank#68  Overall
#5  Wide column stores
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitewww.geomesa.orgwww.sap.com/­products/­technology-platform/­sybase-ase.htmlwww.sap.com/­products/­hana.htmlwww.scylladb.comwww.vertica.com
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlhelp.sap.com/­docs/­SAP_ASEhelp.sap.com/­hanadocs.scylladb.comvertica.com/­documentation
DeveloperCCRi and othersSAP, SybaseSAPScyllaDBOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20141987201020152005
Current release5.0.0, May 202416.02.0 SPS07 (April 4, 2023), April 2023ScyllaDB Open Source 5.4.1, January 202412.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoOpen Source (AGPL), commercial license availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoalso available as a cloud based servicenono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageScalaC and C++C++C++
Server operating systemsAIX
HP-UX
Linux
Solaris
Unix
Windows
Appliance or cloud-serviceLinuxLinux
Data schemeyesyesyesschema-freeYes, 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 dateyesyesyesyesyes
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.nonononono
Secondary indexesyesyesyesyes infocluster global secondary indicesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyesyesSQL-like DML and DDL statements (CQL)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC
C++
Cobol
Java
Java
Perl
PHP
Python
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoJava and Transact-SQLSQLScript, Ryes, Luayes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyesyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerhorizontal partitioningyesShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerMulti-source replication
Source-replica replication
yesselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-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 methodsyesnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate ConsistencyImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layeryesyes infoin-memory tablesno
User concepts infoAccess controlyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardyesAccess rights for users can be defined per objectfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
GeoMesaSAP Adaptive Server infoformer name: Sybase ASESAP HANAScyllaDBVertica infoOpenText™ Vertica™
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
GeoMesaSAP Adaptive Server infoformer name: Sybase ASESAP HANAScyllaDBVertica infoOpenText™ Vertica™
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