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ArangoDB

274
443
+ 1
192
Symas LMDB

17
36
+ 1
0
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ArangoDB vs Symas LMDB: What are the differences?

ArangoDB: A distributed open-source database with a flexible data model for documents, graphs, and key-values. A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions; Symas LMDB: *A memory-efficient database *. It is an extraordinarily fast, memory-efficient database which is developed for the OpenLDAP Project. With memory-mapped files, it has the read performance of a pure in-memory database while retaining the persistence of standard disk-based databases.

ArangoDB and Symas LMDB belong to "Databases" category of the tech stack.

Some of the features offered by ArangoDB are:

  • multi-model nosql db
  • acid
  • transactions

On the other hand, Symas LMDB provides the following key features:

  • Ordered-map interface
  • Fully-transactional
  • Multi-thread and multi-process concurrency supported

ArangoDB is an open source tool with 8.34K GitHub stars and 579 GitHub forks. Here's a link to ArangoDB's open source repository on GitHub.

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Pros of ArangoDB
Pros of Symas LMDB
  • 37
    Grahps and documents in one DB
  • 26
    Intuitive and rich query language
  • 25
    Good documentation
  • 25
    Open source
  • 21
    Joins for collections
  • 15
    Foxx is great platform
  • 14
    Great out of the box web interface with API playground
  • 6
    Good driver support
  • 6
    Low maintenance efforts
  • 6
    Clustering
  • 5
    Easy microservice creation with foxx
  • 4
    You can write true backendless apps
  • 2
    Managed solution available
  • 0
    Performance
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    Cons of ArangoDB
    Cons of Symas LMDB
    • 3
      Web ui has still room for improvement
    • 2
      No support for blueprints standard, using custom AQL
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      What is ArangoDB?

      A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

      What is Symas LMDB?

      It is an extraordinarily fast, memory-efficient database which is developed for the OpenLDAP Project. With memory-mapped files, it has the read performance of a pure in-memory database while retaining the persistence of standard disk-based databases.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use ArangoDB?
      What companies use Symas LMDB?
      See which teams inside your own company are using ArangoDB or Symas LMDB.
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      What tools integrate with ArangoDB?
      What tools integrate with Symas LMDB?

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      What are some alternatives to ArangoDB and Symas LMDB?
      Neo4j
      Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      Cassandra
      Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
      OrientDB
      It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
      See all alternatives