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DBMS > Apache Impala vs. HugeGraph vs. JSqlDb vs. Pinecone

System Properties Comparison Apache Impala vs. HugeGraph vs. JSqlDb vs. Pinecone

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonHugeGraph  Xexclude from comparisonJSqlDb  Xexclude from comparisonPinecone  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAnalytic DBMS for HadoopA fast-speed and highly-scalable Graph DBMSJavaScript Query Language Database, stores JavaScript objects and primitivesA managed, cloud-native vector database
Primary database modelRelational DBMSGraph DBMSDocument store
Object oriented DBMS
Vector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websiteimpala.apache.orggithub.com/­hugegraph
hugegraph.apache.org
jsqldb.org (offline)www.pinecone.io
Technical documentationimpala.apache.org/­impala-docs.htmlhugegraph.apache.org/­docsdocs.pinecone.io/­docs/­overview
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBaiduKonrad von BackstromPinecone Systems, Inc
Initial release2013201820182019
Current release4.1.0, June 20220.90.8, December 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemsLinuxLinux
macOS
Unix
Linux
macOS
Windows
hosted
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesnoString, 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 indexesyesyes infoalso supports composite index and range indexno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCGroovy
Java
Python
JavaScriptPython
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsfunctions in JavaScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducevia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infousing RocksDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers, roles and permissions

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More resources
Apache ImpalaHugeGraphJSqlDbPinecone
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