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DBMS > Amazon Neptune vs. Apache Doris vs. Apache Impala vs. InfinityDB vs. PostGIS

System Properties Comparison Amazon Neptune vs. Apache Doris vs. Apache Impala vs. InfinityDB vs. PostGIS

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Doris  Xexclude from comparisonApache Impala  Xexclude from comparisonInfinityDB  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudAn MPP-based analytics DBMS embracing the MySQL protocolAnalytic DBMS for HadoopA Java embedded Key-Value Store which extends the Java Map interfaceSpatial extension of PostgreSQL
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSKey-value storeSpatial DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score21.72
Rank#29  Overall
#1  Spatial DBMS
Websiteaws.amazon.com/­neptunedoris.apache.org
github.com/­apache/­doris
impala.apache.orgboilerbay.compostgis.net
Technical documentationaws.amazon.com/­neptune/­developer-resourcesgithub.com/­apache/­doris/­wikiimpala.apache.org/­impala-docs.htmlboilerbay.com/­infinitydb/­manualpostgis.net/­documentation
DeveloperAmazonApache Software Foundation, originally contributed from BaiduApache Software Foundation infoApache top-level project, originally developed by ClouderaBoiler Bay Inc.
Initial release20172017201320022005
Current release1.2.2, February 20234.1.0, June 20224.03.4.2, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache Version 2commercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC
Server operating systemshostedLinuxLinuxAll OS with a Java VM
Data schemeschema-freeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nonononoyes
Secondary indexesnoyesyesno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsnoyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
MySQL client
JDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
JavaAll languages supporting JDBC/ODBCJava
Server-side scripts infoStored proceduresnouser defined functionsyes infouser defined functions and integration of map-reducenouser defined functions
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningShardingnoneyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.noneselectable replication factornoneyes infobased on PostgreSQL
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)fine grained access rights according to SQL-standardAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnoyes infobased on PostgreSQL

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More resources
Amazon NeptuneApache DorisApache ImpalaInfinityDBPostGIS
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