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DBMS > Apache Impala vs. InfinityDB vs. Neo4j vs. Typesense

System Properties Comparison Apache Impala vs. InfinityDB vs. Neo4j vs. Typesense

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonInfinityDB  Xexclude from comparisonNeo4j  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA Java embedded Key-Value Store which extends the Java Map interfaceScalable, ACID-compliant graph database designed with a high-performance distributed cluster architecture, available in self-hosted and cloud offeringsA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSKey-value storeGraph DBMSSearch engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.00
Rank#383  Overall
#59  Key-value stores
Score42.68
Rank#21  Overall
#1  Graph DBMS
Score0.80
Rank#209  Overall
#14  Search engines
Websiteimpala.apache.orgboilerbay.comneo4j.comtypesense.org
Technical documentationimpala.apache.org/­impala-docs.htmlboilerbay.com/­infinitydb/­manualneo4j.com/­docstypesense.org/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaBoiler Bay Inc.Neo4j, Inc.
Initial release2013200220072015
Current release4.1.0, June 20224.05.23, August 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPL version3, commercial licenses availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Neo4j Aura: Neo4j’s fully managed cloud service: The zero-admin, always-on graph database for cloud developers.
Implementation languageC++JavaJava, ScalaC++
Server operating systemsLinuxAll OS with a Java VMLinux infoCan also be used server-less as embedded Java database.
OS X
Solaris
Windows
Linux
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-free and schema-optionalschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.nono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyes infopluggable indexing subsystem, by default Apache Luceneyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonono
APIs and other access methodsJDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Bolt protocol
Cypher query language
Java API
Neo4j-OGM infoObject Graph Mapper
RESTful HTTP API
Spring Data Neo4j
TinkerPop 3
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBCJava.Net
Clojure
Elixir
Go
Groovy
Haskell
Java
JavaScript
Perl
PHP
Python
Ruby
Scala
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenoyes infoUser defined Procedures and Functionsno
Triggersnonoyes infovia event handler
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyes using Neo4j Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneCausal Clustering using Raft protocol infoavailable in in Enterprise Version onlyMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDCausal and Eventual Consistency configurable in Causal Cluster setup
Immediate Consistency in stand-alone mode
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosnoUsers, roles and permissions. Pluggable authentication with supported standards (LDAP, Active Directory, Kerberos)
More information provided by the system vendor
Apache ImpalaInfinityDBNeo4jTypesense
Specific characteristicsNeo4j delivers graph technology that has been battle tested for performance and scale...
» more
Competitive advantagesNeo4j is the market leader, graph database category creator, and the most widely...
» more
Typical application scenariosReal-Time Recommendations Master Data Management Identity and Access Management Network...
» more
Key customersOver 800 commercial customers and over 4300 startups use Neo4j. Flagship customers...
» more
Market metricsNeo4j boasts the world's largest graph database ecosystem with more than 140 million...
» more
Licensing and pricing modelsGPL v3 license that can be used all the places where you might use MySQL. Neo4j Commercial...
» more
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