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

IndexedDB

28
79
+ 1
0
TokuMX

6
15
+ 1
3
Add tool

TokuMX vs IndexedDB: What are the differences?

What is TokuMX? A high-performance, concurrent, compressing, drop-in replacement engine for MongoDB. TokuMX is a drop-in replacement for MongoDB, and offers 20X performance improvements, 90% reduction in database size, and support for ACID transactions with MVCC. TokuMX has the same binaries, supports the same drivers, data model, and features of MongoDB, because it shares much of its code with MongoDB.

What is IndexedDB? A low-level API for client-side storage of significant amounts of structured data. This API uses indexes to enable high-performance searches of this data. While Web Storage is useful for storing smaller amounts of data, it is less useful for storing larger amounts of structured data.

TokuMX and IndexedDB belong to "Databases" category of the tech stack.

TokuMX is an open source tool with 680 GitHub stars and 90 GitHub forks. Here's a link to TokuMX's open source repository on GitHub.

Advice on IndexedDB and TokuMX
Needs advice
on
IndexedDBIndexedDBMongoDBMongoDB
and
PostgreSQLPostgreSQL

I'm currently developing an app that ranks trending stuff ( such as games, memes or movies, etc. ) or events in a particular country or region. Here are the specs: My app does not require registration and requires cookies and localStorage to track users. Users can add new entries to each trending category provided that their country of origin is recorded in cookies. If each category contains more than 100 items then the oldest items get deleted. The question is: what kind of database should I use for managing this app? Thanks in advance

See more
Replies (1)
Recommends
MongoDBMongoDB

I think your best and cheapest choice is going to be MongoDB, Although Postgres is probably going to be the more scaleable approach, you likely have a good idea of how you want to present your data, and the app seems small enough that you shouldn't need to worry about scaling issues. It also sounds like your app can grow in a linear capacity based on the number of users, and the amount of data, which is the perfect use-case for noSQL databases (linear, predictable scaling).

Correct me if I have any of these assumptions wrong. 1. You're looking to have a relatively high-read with a lower write volume 2. Your app is essentially a list of objects that can belong to a category 3. users can create objects in this list.

I think Mongo is going to be what you're looking for on the following basis: 1. you absolutely need a database that is shared by all users of your app, therefor IndexedDB is out of the question. 2. You have semi-structured data 3. you probably want the cheapest solution.

I think Postgres is wrong for the following reasons: 1. your app is pretty simple in concept, SQL databases will add unnecessary complexity to your system, either through ORMs or SQL queries. (use an ORM if you go with SQL) 2. Hosting SQL databases for production is not cheap! the cheapest solution I know of for Postgres is ElephantSQL. It provides 20MB for free with 5 concurrent connections, you should be okay to manage these limitations if you decide to go Postgres in the end. Whereas mongoDB Atlas has some great free-tier options.

Although your data might be easier to model in Postgres, you can certainly model your data as a single list of items that have a category attached.

I don't want to officially recommend another tool, but you should really checkout prisma, firebase, amplify, or Azure App Services for this app! Just go completely backend-less [Firebase] https://firebase.google.com/ [Amplify] https://aws.amazon.com/amplify/ [Prisma] https://www.prisma.io/ [Azure App Services] https://azure.microsoft.com/en-us/services/app-service/?v=18.51

See more
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of IndexedDB
Pros of TokuMX
    Be the first to leave a pro
    • 3
      When your two-week MongoDB love affair ends, try this

    Sign up to add or upvote prosMake informed product decisions

    - No public GitHub repository available -

    What is IndexedDB?

    This API uses indexes to enable high-performance searches of this data. While Web Storage is useful for storing smaller amounts of data, it is less useful for storing larger amounts of structured data.

    What is TokuMX?

    TokuMX is a drop-in replacement for MongoDB, and offers 20X performance improvements, 90% reduction in database size, and support for ACID transactions with MVCC. TokuMX has the same binaries, supports the same drivers, data model, and features of MongoDB, because it shares much of its code with MongoDB.

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

    Jobs that mention IndexedDB and TokuMX as a desired skillset
    Pinterest
    San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
    Pinterest
    San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US
    CBRE
    United States of America Texas Richardson
    CBRE
    United States of America Texas Richardson
    CBRE
    United States of America Texas Richardson
    CBRE
    Philippines National Capital Region Makati City
    What companies use IndexedDB?
    What companies use TokuMX?
    See which teams inside your own company are using IndexedDB or TokuMX.
    Sign up for StackShare EnterpriseLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with IndexedDB?
    What tools integrate with TokuMX?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to IndexedDB and TokuMX?
    SQLite
    SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.
    Pouchdb
    PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.
    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.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    CouchDB
    Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.
    See all alternatives