DBMS > Elasticsearch vs. HarperDB vs. HBase vs. InfinityDB vs. PostgreSQL
System Properties Comparison Elasticsearch vs. HarperDB vs. HBase vs. InfinityDB vs. PostgreSQL
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Name | Elasticsearch Xexclude from comparison | HarperDB Xexclude from comparison | HBase Xexclude from comparison | InfinityDB Xexclude from comparison | PostgreSQL Xexclude from comparison | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Description | A distributed, RESTful modern search and analytics engine based on Apache Lucene Elasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric | Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture. | Wide-column store based on Apache Hadoop and on concepts of BigTable | A Java embedded Key-Value Store which extends the Java Map interface | Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Primary database model | Search engine | Document store | Wide column store | Key-value store | Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary database models | Document store Spatial DBMS Vector DBMS | Document store Graph DBMS with Apache Age Spatial DBMS Vector DBMS with pgvector extension | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Website | www.elastic.co/elasticsearch | www.harperdb.io | hbase.apache.org | boilerbay.com | www.postgresql.org | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Technical documentation | www.elastic.co/guide/en/elasticsearch/reference/current/index.html | docs.harperdb.io/docs | hbase.apache.org/book.html | boilerbay.com/infinitydb/manual | www.postgresql.org/docs | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Developer | Elastic | HarperDB | Apache Software Foundation Apache top-level project, originally developed by Powerset | Boiler Bay Inc. | PostgreSQL Global Development Group www.postgresql.org/developer | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Initial release | 2010 | 2017 | 2008 | 2002 | 1989 1989: Postgres, 1996: PostgreSQL | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Current release | 8.6, January 2023 | 3.1, August 2021 | 2.3.4, January 2021 | 4.0 | 16.3, May 2024 | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
License Commercial or Open Source | Open Source Elastic License | commercial free community edition available | Open Source Apache version 2 | commercial | Open Source BSD | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Cloud-based only Only available as a cloud service | no | no | no | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Implementation language | Java | Node.js | Java | Java | C | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server operating systems | All OS with a Java VM | Linux OS X | Linux Unix Windows using Cygwin | All OS with a Java VM | FreeBSD HP-UX Linux NetBSD OpenBSD OS X Solaris Unix Windows | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Data scheme | schema-free Flexible type definitions. Once a type is defined, it is persistent | dynamic schema | schema-free, schema definition possible | yes nested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Typing predefined data types such as float or date | yes | yes JSON data types | options to bring your own types, AVRO | yes all Java primitives, Date, CLOB, BLOB, huge sparse arrays | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT. | no | no | no | no | yes specific XML-type available, but no XML query functionality. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Secondary indexes | yes All search fields are automatically indexed | yes | no | no manual creation possible, using inversions based on multi-value capability | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
SQL Support of SQL | SQL-like query language | SQL-like data manipulation statements | no | no | yes standard with numerous extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
APIs and other access methods | Java API RESTful HTTP/JSON API | JDBC ODBC React Hooks RESTful HTTP/JSON API WebSocket | Java API RESTful HTTP API Thrift | Access via java.util.concurrent.ConcurrentNavigableMap Interface Proprietary API to InfinityDB ItemSpace (boilerbay.com/docs/ItemSpaceDataStructures.htm) | ADO.NET JDBC native C library ODBC streaming API for large objects | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Supported programming languages | .Net Groovy Community Contributed Clients Java JavaScript Perl PHP Python Ruby | .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++ Groovy Java PHP Python Scala | Java | .Net C C++ Delphi Java JDBC JavaScript (Node.js) Perl PHP Python Tcl | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Server-side scripts Stored procedures | yes | Custom Functions since release 3.1 | yes Coprocessors in Java | no | user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Triggers | yes by using the 'percolation' feature | no | yes | no | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Partitioning methods Methods for storing different data on different nodes | Sharding | A table resides as a whole on one (or more) nodes in a cluster | Sharding | none | partitioning by range, list and (since PostgreSQL 11) by hash | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Replication methods Methods for redundantly storing data on multiple nodes | yes | yes the nodes on which a table resides can be defined | Multi-source replication Source-replica replication | none | Source-replica replication other methods possible by using 3rd party extensions | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
MapReduce Offers an API for user-defined Map/Reduce methods | ES-Hadoop Connector | no | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Consistency concepts Methods to ensure consistency in a distributed system | Eventual Consistency Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all | Immediate Consistency | Immediate Consistency or Eventual Consistency | Immediate Consistency READ-COMMITTED or SERIALIZED | Immediate Consistency | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Foreign keys Referential integrity | no | no | no | no manual creation possible, using inversions based on multi-value capability | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Transaction concepts Support to ensure data integrity after non-atomic manipulations of data | no | Atomic execution of specific operations | Single row ACID (across millions of columns) | ACID Optimistic locking for transactions; no isolation for bulk loads | ACID | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Concurrency Support for concurrent manipulation of data | yes | yes | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Durability Support for making data persistent | yes | yes, using LMDB | yes | yes | yes | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
In-memory capabilities Is there an option to define some or all structures to be held in-memory only. | Memcached and Redis integration | yes | yes | no | no | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
User concepts Access control | Access rights for users and roles | Access Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC | no | fine grained access rights according to SQL-standard | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Elasticsearch | HarperDB | HBase | InfinityDB | PostgreSQL | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
DB-Engines blog posts | PostgreSQL is the DBMS of the Year 2017 Elasticsearch moved into the top 10 most popular database management systems MySQL, PostgreSQL and Redis are the winners of the March ranking | Cloudera's HBase PaaS offering now supports Complex Transactions Why is Hadoop not listed in the DB-Engines Ranking? | PostgreSQL is the DBMS of the Year 2023 Snowflake is the DBMS of the Year 2022, defending the title from last year Snowflake is the DBMS of the Year 2021 Monitoring PostgreSQL with Redgate Monitor Elasticsearch Enables 400 Criteo Engineers to Search 4 TB of Log Data per Week Netflix Uses Elasticsearch Percolate Queries to Implement Reverse Searches Efficiently Splunk vs Elasticsearch | A Comparison and How to Choose Using Elasticsearch to Offload Search and Analytics from DynamoDB: Pros and Cons Introducing Elasticsearch Vector Database to Azure OpenAI Service On Your Data (Preview) provided by Google News Startups of the Year 2023: Meet HarperDB - A Database and Application Development Platform Unlocking immersive golfing experiences with AWS Wavelength | Amazon Web Services HarperDB: An underdog SQL / NoSQL database | ZDNET HarperDB is More Than Just a Database: Here's Why Stephen Goldberg Named 2023 Bill Daniels Ethical Leader of the Year | CU Denver Business School News provided by Google News Best Practices from Rackspace for Modernizing a Legacy HBase/Solr Architecture Using AWS Services | Amazon Web ... Less Components, Higher Performance: Apache Doris instead of ClickHouse, MySQL, Presto, and HBase HBase: The database big data left behind HydraBase – The evolution of HBase@Facebook - Engineering at Meta HBase Tutorial provided by Google News Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon ... anynines Launches Quick & Easy PostgreSQL Management in Local Kubernetes Clusters with a9s CLI SolarWinds Unveils Enhanced Database Performance Analyzer with Advanced PostgreSQL Support ServiceNow trades MariaDB for RaptorDB (PostgreSQL) SolarWinds boosts PostgreSQL support with enhanced DPA 2024.2 provided by Google News |
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