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DBMS > EsgynDB vs. GeoSpock vs. Oracle Coherence vs. Pinecone

System Properties Comparison EsgynDB vs. GeoSpock vs. Oracle Coherence vs. Pinecone

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGeoSpock  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPinecone  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionSpatial and temporal data processing engine for extreme data scaleOracles in-memory data grid solutionA managed, cloud-native vector database
Primary database modelRelational DBMSRelational DBMSKey-value storeVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitewww.esgyn.cngeospock.comwww.oracle.com/­java/­coherencewww.pinecone.io
Technical documentationdocs.oracle.com/­en/­middleware/­standalone/­coherencedocs.pinecone.io/­docs/­overview
DeveloperEsgynGeoSpockOraclePinecone Systems, Inc
Initial release201520072019
Current release2.0, September 201914.1, August 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaJava, JavascriptJava
Server operating systemsLinuxhostedAll OS with a Java VMhosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesString, Number, Boolean
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 indexesyestemporal, categoricalno
SQL infoSupport of SQLyesANSI SQL for query only (using Presto)nono
APIs and other access methodsADO.NET
JDBC
ODBC
JDBCJCache
JPA
RESTful HTTP API
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C++
Java
Python
Server-side scripts infoStored proceduresJava Stored Proceduresnono
Triggersnonoyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per tableauthentification to access the cache via certificates or http basic authentication

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More resources
EsgynDBGeoSpockOracle CoherencePinecone
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