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DBMS > HarperDB vs. SpatiaLite vs. Teradata Aster vs. Trino vs. YDB

System Properties Comparison HarperDB vs. SpatiaLite vs. Teradata Aster vs. Trino vs. YDB

Editorial information provided by DB-Engines
NameHarperDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTrino  Xexclude from comparisonYDB  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionHarperDB takes the "stack" out of "tech stack" by combining an ultra-fast document-style data store, in-memory cache, real-time message broker, and your application components into a single distributed technology.Spatial extension of SQLitePlatform for big data analytics on multistructured data sources and typesFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelDocument storeSpatial DBMSRelational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#243  Overall
#38  Document stores
Score1.56
Rank#142  Overall
#3  Spatial DBMS
Score5.28
Rank#61  Overall
#35  Relational DBMS
Score0.39
Rank#269  Overall
#43  Document stores
#126  Relational DBMS
Websitewww.harperdb.iowww.gaia-gis.it/­fossil/­libspatialite/­indextrino.iogithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.harperdb.io/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmltrino.io/­broadcast
trino.io/­docs/­current
ydb.tech/­en/­docs
DeveloperHarperDBAlessandro FurieriTeradataTrino Software FoundationYandex
Initial release2017200820052012 info2020 rebranded from PrestoSQL2019
Current release3.1, August 20215.0.0, August 2020
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercialOpen Source infoApache Version 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageNode.jsC++Java
Server operating systemsLinux
OS X
server-lessLinuxLinux
macOS infofor devlopment
Linux
Data schemedynamic schemayesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File StoreyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes infoJSON data typesyesyesyesyes
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 infoin Aster File Storenono
Secondary indexesyesyesyesdepending on connected data-sourceyes
SQL infoSupport of SQLSQL-like data manipulation statementsyesyesyesSQL-like query language (YQL)
APIs and other access methodsJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
OLE DB
JDBC
RESTful HTTP API
Trino CLI
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Java
Python
R
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresCustom Functions infosince release 3.1noR packagesyes, depending on connected data-sourceno
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesA table resides as a whole on one (or more) nodes in a clusternoneShardingdepending on connected data-sourceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infothe nodes on which a table resides can be definednoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.depending on connected data-sourceActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoSQL Map-Reduce Frameworknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationdepending on connected data-sourceImmediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACIDdepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes, using LMDByesyesdepending on connected data-sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlAccess rights for users and rolesnofine grained access rights according to SQL-standardSQL standard access controlAccess rights defined for Yandex Cloud users
More information provided by the system vendor
HarperDBSpatiaLiteTeradata AsterTrinoYDB
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More resources
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