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Software · head to head

DynamoDB vs Hive

DynamoDB logo

DynamoDB

Software

Fast, flexible NoSQL database service for any scale

From
On request
Rated
-
Hive logo

Hive

Software

Project management built for speed

From
On request
Rated
-

The short version

  • Each has a real cost: DynamoDB noSQL-only; does not support complex relational queries or SQL joins; Hive the free plan is capped at 200 MB of storage
  • They diverge on capability: DynamoDB covers Single-digit Millisecond Latency, Hive covers Tasks.

Where they differ

Only the attributes on which DynamoDB and Hive actually diverge.

Attributes where DynamoDB and Hive differ
AttributeDynamoDBHive
Pricing modelusage-basedfreemium
PlatformsAWSWeb, Ios, Android, Desktop
Founded20062015

Identical on both: starting price (On request), free tier (No), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in DynamoDB

  • Single-digit Millisecond Latency
  • Serverless
  • Auto-scaling
  • Global Tables
  • Point-in-time Recovery
  • Encryption
  • Streams
  • Lambda

Only in Hive

  • Tasks
  • Gantt view
  • Kanban
  • Time tracking
  • Forms
  • Slack
  • Zoom
  • Google Drive

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

DynamoDB

  • High-scale, variable-workload applicationsnot Hive
  • Mobile and IoT device backendsnot Hive
  • Real-time analytics and dashboardsnot Hive
  • Multi-region, globally distributed applicationsnot Hive

Hive

  • Project and task management with multiple project viewsnot DynamoDB
  • Coordinating work, proofing and resourcing for teamsnot DynamoDB

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

DynamoDB

  • NoSQL-only; does not support complex relational queries or SQL joins
  • Limited query flexibility; requires thinking in terms of keys and indexes rather than ad-hoc queries

Hive

  • The free plan is capped at 200 MB of storage
  • The Starter plan at $5 per user per month is limited to 10 projects
  • Eight capabilities are sold as $5 per user add ons on the Teams plan, including CRM, timesheets, proofing, resourcing, advanced dashboards, external users and SSO
  • Buying SSO plus a few of those add ons therefore costs more than the $12 base seat itself
  • AI credits are metered monthly at 1,000, 3,000 and 5,000 by plan

Pricing, plan by plan

DynamoDB

On request

No published plan breakdown. See the DynamoDB review.

Hive

On request
  • FreeFree
    • Basic features
    • 10 users
  • Teams$12/month
    • Unlimited users
    • Time tracking
    • Automations

Which should you pick?

Choose DynamoDB if

  • You need single-digit millisecond latency.
  • You work on AWS.
  • You also want serverless.

Choose Hive if

  • You need tasks.
  • You work on Web, Ios, Android, Desktop.
  • You also want gantt view.

Questions people ask

Is DynamoDB or Hive better?
Neither clearly leads. DynamoDB starts at On request and Hive at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DynamoDB or Hive?
DynamoDB starts at On request and Hive at On request.
Does DynamoDB or Hive run on more platforms?
DynamoDB runs on AWS. Hive runs on Web, Ios, Android, Desktop.
What is DynamoDB best used for?
DynamoDB is most often used for high-scale, variable-workload applications, mobile and iot device backends, real-time analytics and dashboards, multi-region, globally distributed applications. Of those, high-scale, variable-workload applications and mobile and iot device backends are not what Hive is typically brought in for.
What can DynamoDB do that Hive cannot?
DynamoDB covers Single-digit Millisecond Latency, Serverless, Auto-scaling, Global Tables. Hive covers Tasks, Gantt view, Kanban, Time tracking. Both handle Web support.

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