Need advice about which tool to choose?Ask the StackShare community!
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn MorePros of MapD
Pros of MongoDB
Pros of MySQL
Pros of MapD
- Super fast, and the approach taken3
- Hehe1
Pros of MongoDB
- Document-oriented storage827
- No sql593
- Ease of use553
- Fast464
- High performance410
- Free257
- Open source218
- Flexible180
- Replication & high availability145
- Easy to maintain112
- Querying42
- Easy scalability39
- Auto-sharding38
- High availability37
- Map/reduce31
- Document database27
- Easy setup25
- Full index support25
- Reliable16
- Fast in-place updates15
- Agile programming, flexible, fast14
- No database migrations12
- Easy integration with Node.Js8
- Enterprise8
- Enterprise Support6
- Great NoSQL DB5
- Support for many languages through different drivers4
- Drivers support is good3
- Aggregation Framework3
- Schemaless3
- Fast2
- Managed service2
- Easy to Scale2
- Awesome2
- Consistent2
- Good GUI1
- Acid Compliant1
Pros of MySQL
- Sql800
- Free679
- Easy562
- Widely used528
- Open source489
- High availability180
- Cross-platform support160
- Great community104
- Secure78
- Full-text indexing and searching75
- Fast, open, available25
- SSL support16
- Reliable15
- Robust14
- Enterprise Version8
- Easy to set up on all platforms7
- NoSQL access to JSON data type2
- Relational database1
- Easy, light, scalable1
- Sequel Pro (best SQL GUI)1
- Replica Support1
Sign up to add or upvote prosMake informed product decisions
Cons of MapD
Cons of MongoDB
Cons of MySQL
Cons of MapD
Be the first to leave a con
Cons of MongoDB
- Very slowly for connected models that require joins6
- Not acid compliant3
- Proprietary query language1
Cons of MySQL
- Owned by a company with their own agenda16
- Can't roll back schema changes3
Sign up to add or upvote consMake informed product decisions
- No public GitHub repository available -
What is MapD?
Interactively query and visualize massive datasets with the parallel power of GPUs.
What is 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.
What is MySQL?
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
Need advice about which tool to choose?Ask the StackShare community!
Jobs that mention MapD, MongoDB, and MySQL as a desired skillset
What companies use MapD?
What companies use MongoDB?
What companies use MySQL?
What companies use MapD?
What companies use MongoDB?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with MapD?
What tools integrate with MongoDB?
What tools integrate with MySQL?
What tools integrate with MapD?
What tools integrate with MySQL?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
+3 3
571
+17 8
9744
+11 2
2358
+6 2
2004
+2 5
1503
+17 16
6808
+32 17
5972
+12 9
3024
What are some alternatives to MapD, MongoDB, and MySQL?
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Clickhouse
It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.
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.
Microsoft SQL Server
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.